6th August

1. VacAdvisor
Fred N. Kiwanuka
Fellow Insight Data Science
August 6, 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. Conceptual Framework
Fred N. Kiwanuka Fellow Insight Data Science VacAdvisor

8. Algorithm: Clustering
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. Cluster Validation
Fred N. Kiwanuka Fellow Insight Data Science VacAdvisor

12. Cluster Validation
Table: (Cluster Validation)
Number of Clusters WSS(103) City Cities Closest to Centroid
2 10.32 Seattle Detroit, Charlotte, South Bend
3 9.93 Seattle Boston, Phoenix, Detroit
4 9.91 Seattle Charlotte, South Bend, Minneapolis
5 8.40 Seattle Detroit, Charlotte, South Bend
7 9.62 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. Silhouette Score
Fred N. Kiwanuka Fellow Insight Data Science VacAdvisor

14. Silhouette Score
Fred N. Kiwanuka Fellow Insight Data Science VacAdvisor

15. Silhouette Score
Fred N. Kiwanuka Fellow Insight Data Science VacAdvisor

16. Silhouette Score
Fred N. Kiwanuka Fellow Insight Data Science VacAdvisor

17. Silhouette Score
Fred N. Kiwanuka Fellow Insight Data Science VacAdvisor

18. Cluster Initialization and Validation
Table: (Cluster Initialization and Validation)
Alg Time(s) homo compl v-meas ARI AMI
k-means 0.03 0.971 0.971 0.971 0.988 0.970
VQ 0.04 1.000 1.000 1.000 1.000 1.000
PCA +kmeans 0.00 1.000 1.000 1.000 1.000 1.000
Mean Shift 0.24 1.000 0.970 0.972 0.980 0.972
Fred N. Kiwanuka Fellow Insight Data Science VacAdvisor

19. Fred N. Kiwanuka
PhD(Groningen), MSC(London), MIT(Fellow)
Fred N. Kiwanuka Fellow Insight Data Science VacAdvisor

20. Mobile Malaria Diagnosis
Fred N. Kiwanuka Fellow Insight Data Science VacAdvisor

21. Classification Challenge
Fred N. Kiwanuka Fellow Insight Data Science VacAdvisor

22. Feature Engineering
Number of Images: 50,000 and 60 feature vector for each image
Perimeter
Moment of Inertia [4 features]
Elongation
Jaggedness
Circularity
Moment features [9 features]
Fred N. Kiwanuka Fellow Insight Data Science VacAdvisor

23. Results
Fred N. Kiwanuka Fellow Insight Data Science VacAdvisor