Sci-kit and various clustering techniques implementation
The code presented was written as part of an assignment for Artificial Intelligence course that I took during Fall 2016 semester at WPI. The first pic shows the question, second pic shows the result obtained from executing the code and finally the link to code repository on github is presented below. The data sets can be found in the github repository
Code - https://github.com/AnkitSaini/Scikit-and-various-clustering-techniques-implementation
Question 1
Answer:
Implementation of k-means showing the number of iterations and final centroid co-ordinates.
Pictorial representation of results and data. The red triangle represents the centroids with which the kmeans algorithm started. And finally the green circle represents the final centroids that the kmeans algorithms returns for the two clusters.



Question 2

Answer: (top) Fowlkes and Mallows index. (bottom) Confusion matrix for the three clustering techniques.


Question 3

Answer: Performance of algorithms measured through f-means. The poor performance is possibly because of very small number of training examples.
