VacAdvisor

Fred N. KiwanukaFellow Insight Data Science

August 6, 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

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

Fred N. Kiwanuka Fellow Insight Data Science VacAdvisor

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

Silhouette Score

Fred N. Kiwanuka Fellow Insight Data Science VacAdvisor

Silhouette Score

Fred N. Kiwanuka Fellow Insight Data Science VacAdvisor

Silhouette Score

Fred N. Kiwanuka Fellow Insight Data Science VacAdvisor

Silhouette Score

Fred N. Kiwanuka Fellow Insight Data Science VacAdvisor

Silhouette Score

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

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

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

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

Results

Fred N. Kiwanuka Fellow Insight Data Science VacAdvisor