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Similarity and clustering
Motivation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Example Scatter/Gather, a text clustering system, can separate salient topics in the response to keyword queries. (Image courtesy of Hearst)
Clustering ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Top-down clustering ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Choosing `k’ ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Choosing ‘k’ : Approaches ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Choosing ‘k’ : Approaches ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Similarity and clustering
Motivation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Example Scatter/Gather, a text clustering system, can separate salient topics in the response to keyword queries. (Image courtesy of Hearst)
Clustering ,[object Object],[object Object],[object Object]
Clustering (contd) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Clustering: Parameters ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Clustering: Formal specification ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Partitioning Approaches ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Bottom-up clustering(HAC) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Dendogram A dendogram presents the progressive, hierarchy-forming merging process pictorially.
Similarity measure ,[object Object],[object Object],[object Object],[object Object],[object Object]
Computation Un-normalized group profile: Can show: O ( n 2 log n )  algorithm with  n 2  space
Similarity Normalized document profile: Profile for document group   :
Switch to top-down ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Top-down clustering ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Seeding `k’ clusters ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Choosing `k’ ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Choosing ‘k’ : Approaches ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Choosing ‘k’ : Approaches ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Visualisation   techniques ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Self-Organization Map (SOM) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
SOM : Update Rule ,[object Object],[object Object],[object Object],[object Object],[object Object]
SOM : Example I SOM computed from over a million documents taken from 80 Usenet newsgroups. Light areas have a high density of documents.
SOM: Example II Another example of SOM at work: the sites listed in the Open Directory have beenorganized within a map of Antarctica at  http://antarcti.ca/ .
Multidimensional Scaling(MDS) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
MDS: issues ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Fast Map  [Faloutsos ’95] ,[object Object],[object Object],[object Object],[object Object],[object Object]
Best line ,[object Object],[object Object],[object Object]
Iterative projection ,[object Object],[object Object],[object Object],[object Object],[object Object]
Projection ,[object Object],[object Object],[object Object],[object Object]
Issues ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object]
Extended similarity ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],…  car … …  auto … …  auto …car …  car … auto …  auto …car …  car … auto …  auto …car …  car … auto car    auto 
Latent semantic indexing A Documents Terms U d t r D V d SVD Term Document car auto k k-dim vector
Collaborative recommendation ,[object Object],[object Object],[object Object],[object Object],From  Clustering methods in collaborative filtering,  by Ungar and Foster
A model for collaboration ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Aspect Model ,[object Object],[object Object],[object Object],[object Object],[object Object]
Aspect Model (contd) ,[object Object],[object Object],[object Object],[object Object],[object Object]
Aspect Model ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Aspect Model ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Aspect Model ,[object Object],[object Object],[object Object],[object Object],[object Object]
Aspect Model: Latent classes Increasing Degree of Restriction On Latent space
Aspect Model Symmetric Asymmetric
Clustering  vs  Aspect ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Hierarchical Clustering model One-sided clustering Hierarchical clustering
Comparison of E’s ,[object Object],[object Object],[object Object]
Tempered EM(TEM) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
M-Steps ,[object Object],[object Object],[object Object],[object Object]
Example Model  [Hofmann and Popat CIKM 2001] ,[object Object]
Example Application
Topic Hierarchies ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Topic Hierarchies  (Hierarchical X-clustering) ,[object Object]
Document Classification Exercise ,[object Object]
Mixture vs Shrinkage ,[object Object],[object Object],[object Object],[object Object]
Mixture Density Networks(MDN)   [Bishop CM ’94 Mixture Density Networks] ,[object Object],[object Object],[object Object],[object Object],[object Object],.
MDN: Example A conditional mixture density network with Gaussian component densities
MDN ,[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],Document model

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Cluster