Clustering and Visualisation using R programmingNixon Mendez
Clustering Analysis is a collection of patterns into clusters based on similarity.
Here we will discuss on the following :
Microarray Data of Yeast Cell Cycle
Clustering Analysis :-
Principal Component Analysis (PCA)
Multidimensional Scaling (MDS)
K-Means
Self-Organizing Maps (SOM)
Hierarchical Clustering
Clustering and Visualisation using R programmingNixon Mendez
Clustering Analysis is a collection of patterns into clusters based on similarity.
Here we will discuss on the following :
Microarray Data of Yeast Cell Cycle
Clustering Analysis :-
Principal Component Analysis (PCA)
Multidimensional Scaling (MDS)
K-Means
Self-Organizing Maps (SOM)
Hierarchical Clustering
Introduction to homomorphic encryption, encryption which allows computations on ciphertext. An overview of key aspects and the ideas that allow these schemes to work is given, as well as examples of how to apply it.
Christoph Matthies (@chrisma0), Hubert Hesse (@hubx), Robert Lehmann (@rlehmann)
As is common with many data structures, the hardest operation is deletion. Once we have found the node to be deleted, we need to consider several possibilities. If the node is a leaf, it can be deleted immediately.
Solutions manual for calculus an applied approach brief international metric ...Larson612
Solutions Manual for Calculus An Applied Approach Brief International Metric Edition 10th Edition by Larson IBSN 9781337290579
Full download: https://goo.gl/RtxZKH
Being a slow interpreter, Python may drive a system to deliver utmost speed if some guidelines are followed. The key is to treat programming languages as syntactic sugar to the machine code. It expedites the workflow of timing, iterative design, automatic testing, optimization, and realize an HPC system balancing the time to market and quality of code.
Speed is the king. 10x productive developers change business. So does 10x faster code. Python is 100x slower than C++ but it only matters when you really use Python to implement number-crunching algorithms. We should not do that, and instead go directly with C++ for speed. It calls for strict disciplines of software engineering and code quality, but it should be noted that here the quality is defined by the runtime and the time to market.
The presentation focuses on the Python side of the development workflow. It is made possible by confining C++ in architecture defined by the Python code, which realizes most of the software engineering. The room for writing fast C++ code is provided by pybind11 and careful design of typed data objects. The data objects hold memory buffers exposed to Python as numpy ndarrays for direct access for speed.
Introduction to homomorphic encryption, encryption which allows computations on ciphertext. An overview of key aspects and the ideas that allow these schemes to work is given, as well as examples of how to apply it.
Christoph Matthies (@chrisma0), Hubert Hesse (@hubx), Robert Lehmann (@rlehmann)
As is common with many data structures, the hardest operation is deletion. Once we have found the node to be deleted, we need to consider several possibilities. If the node is a leaf, it can be deleted immediately.
Solutions manual for calculus an applied approach brief international metric ...Larson612
Solutions Manual for Calculus An Applied Approach Brief International Metric Edition 10th Edition by Larson IBSN 9781337290579
Full download: https://goo.gl/RtxZKH
Being a slow interpreter, Python may drive a system to deliver utmost speed if some guidelines are followed. The key is to treat programming languages as syntactic sugar to the machine code. It expedites the workflow of timing, iterative design, automatic testing, optimization, and realize an HPC system balancing the time to market and quality of code.
Speed is the king. 10x productive developers change business. So does 10x faster code. Python is 100x slower than C++ but it only matters when you really use Python to implement number-crunching algorithms. We should not do that, and instead go directly with C++ for speed. It calls for strict disciplines of software engineering and code quality, but it should be noted that here the quality is defined by the runtime and the time to market.
The presentation focuses on the Python side of the development workflow. It is made possible by confining C++ in architecture defined by the Python code, which realizes most of the software engineering. The room for writing fast C++ code is provided by pybind11 and careful design of typed data objects. The data objects hold memory buffers exposed to Python as numpy ndarrays for direct access for speed.
"You shall not pass : anti-debug methodics"ITCP Community
How to save you app from hacking? We will discuss a protection mechanisms and ways to hack them.
Основные тезисы:
- Основы LLDB;
- Способы защиты от нежелательного дебага вашего приложения;
- Оценка эффективности этих способов;
- Способы обхода приведенных методик;
- Обфускация кода и другие полезные практики защиты;
- Небольшое демо по взлому:)
By expanding our knowledge of SQL facilities, we can let all the boring work be handled via SQL rather than a lot of middle-tier code, and we can get performance benefits as an added bonus. Here are some SQL techniques to solve problems that would otherwise require a lot of complex coding, freeing up your time to focus on the delivery of great applications.
in this assignment you are asked to write a simple driver program an.pdfmichardsonkhaicarr37
in this assignment you are asked to write a simple driver program and set of functions (maybein
a library) that can be performed on a binary search tree.
Your program should allow user to insert/delete integer values into the binary search tree along
with several other operations on the binary search tree. You can use the code given in slides. But
this time your key will be int! Specifically, your program will ask user to enter a command and
related parameters (if any) in a loop, and then perform the given commands. Here is the list of
commands that your program must implement:
* insert
*find\'
*delete
*list inorder
*list preorder
*list postorder
*list levelorder
* max
* min
* height
*count
* sum
*quit
As always, make sure you release (free) the dynamically allocated memories if you allocate any
memory in your programs. So, before submitting your program, run it with valgrind to see if
there is any memory leakage
//my proggram in C
struct tree_node {
int data;
struct tree_node *left, *right;
}
typedef struct nodeT {
int key;
struct nodeT *left, *right;
} nodeT, *treeT;
int main(){
while (TRUE) {
printf(\"> \");
line = GetLine();
ch = toupper(line[0]);
switch (ch) {
case \'I\': insert(); break;
case \'F\': find(); break;
case \'D\': delete(); break;
case \'LI\': listInorder; break;
case \'LPR\': listPreorder(); break;
case \'LPO\': listPostorder(); break;
case \'MAX\': max(); break;
case \'min\': min(); break;
case \'H\': height(); break;
case \'C\': count(); break;
case \'S\': sum(); break;
case \'Q\': exit(0);
default:printf(\"Illegal command\ \"); break;
}
}
}
nodeT *FindNode(nodeT *t, int key){
while(t !=NULL) {
if (key == t->key) return t;
if (key < t->key) {
t = t->left;
} else {
t = t->right;
}
return NULL;
}
void delete(nodeT **p){
nodeT
*target;
target=*p;
if (target->left==NULL && target->right==NULL) {
*p=NULL;
} else if (target->left == NULL) {
*p=target->right;
} else
if (target->right == NULL) {
*p=target->left;
} else {
/* target has two children, see next slide */
}
free(target);
}
void listInorder(nodeT *T){
if (t != NULL) {
DisplayTree(t->left);
printf(“%d “, t->key);
DisplayTree(t->right);
}
}
void listPreorder(nodeT *t) {
if (t != NULL) {
printf(“%d “, t->key);
DisplayTree(t->left);
DisplayTree(t->right);
}
}
void listPostOrder(nodeT *t){
if (t != NULL) {
DisplayTree(t->left);
DisplayTree(t->right);
printf(“%d “, t->key);
}
}
void intsert(nodeT **tptr, int key){
nodeT*t, *tmp;
t=*tptr;
if (t == NULL) {
tmp=New(nodeT*);
tmp->key = key;
tmp->left=tmp->right=NULL;
*tptr=tmp;
return;
}
if (key < t->key) {
InsertNode
(&t->left, key);
} else {
InsertNode(&t->right, key);
}
}
int height(nodeT *t){
if (t == NULL)
return 0;
else
return (1 + maximumof(
height(t->left),
height(t->right)) );
}
int sum(struct tree_node *p){
if (p == NULL)
return 0;
else
return (p->data +
sum(p->left) +
sum(p->right) );
}
Solution
1. /*
2. * Java Program to Implement Binary Search Tree
3. */
4.
5. import java.util.Scanner;
6.
7. /* Class BSTNode */
8. cl.
To create a node for a binary search tree (BTNode, ) and to create a .pdfbhim1213
To create a node for a binary search tree (BTNode, ) and to create a binary search tree of
comparable objects (Tree BTNode BTNode -data:E -left: BTNode -right: BTNode +BTNode
(newData:E, newLeft: BTNode, newRight: BTNode) +getData():E +getLeft():BTNode
+getRight():BTNode +getRightMostData():E +inOrderPrint():void +removeRightmost():
BTNode +setData(newData:E):void +setLeft(newleft: BTNode):void +setRight(newRight:
BTNode):void needed for remove needed for remove Tree for Lab 7 Tree -root: 8TNode -
numltems:int +Tree() +add(element:E):void +remove(element:E):boolean + remove
+size():int + printTree():void
Solution
//BTNode.java
public class BTNode
{
private E data;
private BTNode left;
private BTNode right;
public BTNode(E newData, BTNode newLeft, BTNode newRight)
{
data = newData;
left = newLeft;
right = newRight;
}//end constructor
/**
* Returns the data
* @return The data
*/
public E getData()
{
return data;
}//end getData
/**
* Returns the left link
* @return the left link
*/
public BTNode getLeft()
{
return left;
}//end getLeft
/**
* Returns the right link
* @return the right link
*/
public BTNode getRight()
{
return right;
}//end getRight
/**
* Prints the tree in order from left to right.
*/
public void inOrderPrint()
{
if (left != null){
left.inOrderPrint();
}//end left
System.out.println(data);
if(right != null){
right.inOrderPrint();
}//end right
}//end inOrderPrint
/**
* Sets the data in the node
* @param newData The new data to be passed
*/
public void setData(E newData)
{
data = newData;
}//end setData
/**
* Sets a new link to left
* @param newLeft the new link to go left
*/
public void setLeft(BTNode newLeft)
{
left = newLeft;
}//end setLeft
/**
* Sets a new link to the right
* @param newRight the new link to the right
*/
public void setRight(BTNode newRight)
{
right = newRight;
}//end setRight
public E getRightMostData()
{
if(right == null){
return data;
} else {
return right.getRightMostData();
}//end right == null if-else
}//end getRightMostData
public BTNode removeRightmost()
{
if (right == null){
return left;
} else {
right = right.removeRightmost();
return this;
}//end if right == null if=-else
}//end removeRightMost
}//end BTNode
=====================================================================
==
//Tree.java
public class Tree>
{
private BTNode root;
private int numItems;
/**
* No-arg constructor
*/
public Tree()
{
root = null;
numItems = 0;
}//end constructor
public void add(E element)
{
if (root == null) {
root = new BTNode(element, null, null);
}else{
BTNode cursor = root;
boolean done = false;
while(!done){
if (element.compareTo(cursor.getData()) <= 0){//cursor.getData().compareTo(element) > 0){
if (cursor.getLeft() == null) {
cursor.setLeft(new BTNode(element,null,null));
done = true;
} else {
cursor = cursor.getLeft();
} //end left is null if-else
}else{
if(cursor.getRight() == null){
cursor.setRight(new BTNode(element, null, null));
done = true;
}else{
cursor = cursor.getRight();
}//end cursor.getRight if-else
}/.
Effective Numerical Computation in NumPy and SciPyKimikazu Kato
Presented at PyCon JP 2014.
Video is available at
http://bit.ly/1tXYhw6
This talk explores case studies of effective usage of Numpy/Scipy and shows that the computational speed sometimes improves drastically with the appropriate derivation of formulas and performance-conscious implementation. I especially focus on scipy.sparse, the module for sparse matrices, which is often useful in the areas of machine learning and natural language processing.
Deadlocks operating system To develop a description of deadlocks, which prevent sets of concurrent processes from completing their tasks
To present a number of different methods for preventing, avoiding, or detecting deadlocks in a computer system
e.t.c
How to Add Chatter in the odoo 17 ERP ModuleCeline George
In Odoo, the chatter is like a chat tool that helps you work together on records. You can leave notes and track things, making it easier to talk with your team and partners. Inside chatter, all communication history, activity, and changes will be displayed.
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...Levi Shapiro
Letter from the Congress of the United States regarding Anti-Semitism sent June 3rd to MIT President Sally Kornbluth, MIT Corp Chair, Mark Gorenberg
Dear Dr. Kornbluth and Mr. Gorenberg,
The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
harassment and intimidation at the Massachusetts Institute of Technology (MIT). Failing to act decisively to ensure a safe learning environment for all students would be a grave dereliction of your responsibilities as President of MIT and Chair of the MIT Corporation.
This Congress will not stand idly by and allow an environment hostile to Jewish students to persist. The House believes that your institution is in violation of Title VI of the Civil Rights Act, and the inability or
unwillingness to rectify this violation through action requires accountability.
Postsecondary education is a unique opportunity for students to learn and have their ideas and beliefs challenged. However, universities receiving hundreds of millions of federal funds annually have denied
students that opportunity and have been hijacked to become venues for the promotion of terrorism, antisemitic harassment and intimidation, unlawful encampments, and in some cases, assaults and riots.
The House of Representatives will not countenance the use of federal funds to indoctrinate students into hateful, antisemitic, anti-American supporters of terrorism. Investigations into campus antisemitism by the Committee on Education and the Workforce and the Committee on Ways and Means have been expanded into a Congress-wide probe across all relevant jurisdictions to address this national crisis. The undersigned Committees will conduct oversight into the use of federal funds at MIT and its learning environment under authorities granted to each Committee.
• The Committee on Education and the Workforce has been investigating your institution since December 7, 2023. The Committee has broad jurisdiction over postsecondary education, including its compliance with Title VI of the Civil Rights Act, campus safety concerns over disruptions to the learning environment, and the awarding of federal student aid under the Higher Education Act.
• The Committee on Oversight and Accountability is investigating the sources of funding and other support flowing to groups espousing pro-Hamas propaganda and engaged in antisemitic harassment and intimidation of students. The Committee on Oversight and Accountability is the principal oversight committee of the US House of Representatives and has broad authority to investigate “any matter” at “any time” under House Rule X.
• The Committee on Ways and Means has been investigating several universities since November 15, 2023, when the Committee held a hearing entitled From Ivory Towers to Dark Corners: Investigating the Nexus Between Antisemitism, Tax-Exempt Universities, and Terror Financing. The Committee followed the hearing with letters to those institutions on January 10, 202
Executive Directors Chat Leveraging AI for Diversity, Equity, and InclusionTechSoup
Let’s explore the intersection of technology and equity in the final session of our DEI series. Discover how AI tools, like ChatGPT, can be used to support and enhance your nonprofit's DEI initiatives. Participants will gain insights into practical AI applications and get tips for leveraging technology to advance their DEI goals.
it describes the bony anatomy including the femoral head , acetabulum, labrum . also discusses the capsule , ligaments . muscle that act on the hip joint and the range of motion are outlined. factors affecting hip joint stability and weight transmission through the joint are summarized.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar Kanvaria
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
2. Deleting a node in BST
As is common with many data structures,
the hardest operation is deletion.
Once we have found the node to be
deleted, we need to consider several
possibilities.
If the node is a leaf, it can be deleted
immediately.
3. Deleting a node in BST
If the node has one child, the node can be
deleted after its parent adjusts a pointer to
bypass the node and connect to inorder
successor.
6
2
4
3
1
8
4. Deleting a node in BST
The inorder traversal order has to be
maintained after the delete.
6
2
4
3
1
8
6
2
4
3
1
8
5. Deleting a node in BST
The inorder traversal order has to be
maintained after the delete.
6
2
4
3
1
8
6
2
4
3
1
8
6
2
31
8
6. Deleting a node in BST
The complicated case is when the node to
be deleted has both left and right subtrees.
The strategy is to replace the data of this
node with the smallest data of the right
subtree and recursively delete that node.
7. Deleting a node in BST
Delete(2): locate inorder successor
6
2
5
3
1
8
4
Inorder
successor
8. Deleting a node in BST
Delete(2): locate inorder successor
6
2
5
3
1
8
4
Inorder
successor
Inorder successor will be the left-most
node in the right subtree of 2.
The inorder successor will not have a left
child because if it did, that child would be
the left-most node.
9. Deleting a node in BST
Delete(2): copy data from inorder successor
6
2
5
3
1
8
4
6
3
5
3
1
8
4
10. Deleting a node in BST
Delete(2): remove the inorder successor
6
2
5
3
1
8
4
6
3
5
3
1
8
4
6
3
5
3
1
8
4