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VacAdvisor
Fred N. Kiwanuka
Fellow Insight Data Science
July 21, 2015
Fred N. Kiwanuka Fellow Insight Data Science VacAdvisor
What are my options for vacation with a specified budget ?
Fred N. Kiwanuka Fellow Insight Data Science VacAdvisor
The Data
Fred N. Kiwanuka Fellow Insight Data Science VacAdvisor
The Data
Fred N. Kiwanuka Fellow Insight Data Science VacAdvisor
The Data
Fred N. Kiwanuka Fellow Insight Data Science VacAdvisor
The Data
Fred N. Kiwanuka Fellow Insight Data Science VacAdvisor
Features
Flight cost from New York to 720 cities in the US
Average cost of hotels for 3143 counties
Average daily expenses including car
Location of city [east, west, central, south, north]
City specifics like beaches, museum, national parks
Fred N. Kiwanuka Fellow Insight Data Science VacAdvisor
Conceptual Framework
Fred N. Kiwanuka Fellow Insight Data Science VacAdvisor
Algorithm: Clustering
Fred N. Kiwanuka Fellow Insight Data Science VacAdvisor
Algorithm: Clustering
Fred N. Kiwanuka Fellow Insight Data Science VacAdvisor
Algorithm: Clustering
Fred N. Kiwanuka Fellow Insight Data Science VacAdvisor
Cluster Validation
Table: (Cluster Validation)
Number of Clusters WSS(105) City Similarity
2 9.98 Seattle Detroit, Charlotte, South Bend
3 9.73 Seattle Boston, Phoenix, Detroit
4 9.87 Seattle Charlotte, South Bend, Minneapolis
5 9.15 Seattle Detroit, Charlotte, South Bend
7 9.43 Seattle Detroit, Charlotte, South Bend
10 9.63 Seattle Sacrameto, San Jose, Colombus
12 9.52 Seattle Sacrameto, San Jose, Colombus
Fred N. Kiwanuka Fellow Insight Data Science VacAdvisor
Cluster Initialization and Validation
Table: (Cluster Initialization and Validation)
Alg Time(s) homo compl v-meas ARI AMI silhouette
k-means 0.03 0.971 0.971 0.971 0.988 0.970 0.389
VQ 0.04 1.000 1.000 1.000 1.000 1.000 0.388
After PCA 0.00 1.000 1.000 1.000 1.000 1.000 0.388
Mean Shift 0.24 1.000 0.970 0.972 0.980 0.972 0.386
Fred N. Kiwanuka Fellow Insight Data Science VacAdvisor
Fred N. Kiwanuka
PhD(Groningen), MSC(London), MIT(Fellow)
Fred N. Kiwanuka Fellow Insight Data Science VacAdvisor
Mobile Malaria Diagnosis
Fred N. Kiwanuka Fellow Insight Data Science VacAdvisor
Classification Challenge
Fred N. Kiwanuka Fellow Insight Data Science VacAdvisor
Results
Fred N. Kiwanuka Fellow Insight Data Science VacAdvisor

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Project

  • 1. VacAdvisor Fred N. Kiwanuka Fellow Insight Data Science July 21, 2015 Fred N. Kiwanuka Fellow Insight Data Science VacAdvisor
  • 2. What are my options for vacation with a specified budget ? Fred N. Kiwanuka Fellow Insight Data Science VacAdvisor
  • 3. The Data Fred N. Kiwanuka Fellow Insight Data Science VacAdvisor
  • 4. The Data Fred N. Kiwanuka Fellow Insight Data Science VacAdvisor
  • 5. The Data Fred N. Kiwanuka Fellow Insight Data Science VacAdvisor
  • 6. The Data Fred N. Kiwanuka Fellow Insight Data Science VacAdvisor
  • 7. Features Flight cost from New York to 720 cities in the US Average cost of hotels for 3143 counties Average daily expenses including car Location of city [east, west, central, south, north] City specifics like beaches, museum, national parks Fred N. Kiwanuka Fellow Insight Data Science VacAdvisor
  • 8. Conceptual Framework Fred N. Kiwanuka Fellow Insight Data Science VacAdvisor
  • 9. Algorithm: Clustering Fred N. Kiwanuka Fellow Insight Data Science VacAdvisor
  • 10. Algorithm: Clustering Fred N. Kiwanuka Fellow Insight Data Science VacAdvisor
  • 11. Algorithm: Clustering Fred N. Kiwanuka Fellow Insight Data Science VacAdvisor
  • 12. Cluster Validation Table: (Cluster Validation) Number of Clusters WSS(105) City Similarity 2 9.98 Seattle Detroit, Charlotte, South Bend 3 9.73 Seattle Boston, Phoenix, Detroit 4 9.87 Seattle Charlotte, South Bend, Minneapolis 5 9.15 Seattle Detroit, Charlotte, South Bend 7 9.43 Seattle Detroit, Charlotte, South Bend 10 9.63 Seattle Sacrameto, San Jose, Colombus 12 9.52 Seattle Sacrameto, San Jose, Colombus Fred N. Kiwanuka Fellow Insight Data Science VacAdvisor
  • 13. Cluster Initialization and Validation Table: (Cluster Initialization and Validation) Alg Time(s) homo compl v-meas ARI AMI silhouette k-means 0.03 0.971 0.971 0.971 0.988 0.970 0.389 VQ 0.04 1.000 1.000 1.000 1.000 1.000 0.388 After PCA 0.00 1.000 1.000 1.000 1.000 1.000 0.388 Mean Shift 0.24 1.000 0.970 0.972 0.980 0.972 0.386 Fred N. Kiwanuka Fellow Insight Data Science VacAdvisor
  • 14. Fred N. Kiwanuka PhD(Groningen), MSC(London), MIT(Fellow) Fred N. Kiwanuka Fellow Insight Data Science VacAdvisor
  • 15. Mobile Malaria Diagnosis Fred N. Kiwanuka Fellow Insight Data Science VacAdvisor
  • 16. Classification Challenge Fred N. Kiwanuka Fellow Insight Data Science VacAdvisor
  • 17. Results Fred N. Kiwanuka Fellow Insight Data Science VacAdvisor