Code 30 lines. Get 100 USD (1641111)

Code 30 lines. Get 100 USD K-Means Clustering App Name: [login to view URL] App Description: Use k-means to group 400 addresses into 5 groups. 1. App starts and plots the 400 addresses 2. User inputs 5 starting cluster points 3. K-cluster algorithm runs and groups addresses into appropriate clusters 4. 5 groups (80 addresses each) are generated App Requirements: 1. Distance calculated using Google Maps walking/driving distance; NOT, geometric distance. (refer to attached picture) A and B are two locations on a map. Blue line indicates to the walking distance between points A and B calculated using Google Maps API. Red line indicates the geometric distance between point A and B. For this project, K-Means will use the Google Maps API (blue line) distance to determine appropriate clustering, NOT the geometric distance (red line). 2. Developed for Android Platform (2.3) 3. Must use/load Weka Library (unless you can find something better) 4. Cluster minimum 400 addresses in Google Maps into 5 clusters of 80 addresses. Sample address list will be provided. 4. Initial centroid will be generated by touch input on the map. 5. Number (#) of clusters must be dynamic (can be changed to x # of clusters) 6.. When you respond to this posting, please type in the code BR3P2?k0xdr or we will consider your response spam and discard it. 7. Though we expect a very short program, we don't care if your program is either under or over 30 lines. If it works, you get the money. 8. All code must be posted to a CVS repository that we will provide. ![][1] Important Note: - If you are hired, we will have consistent year-long work for you. - We also do not mind for you to work on other projects simultaneously.