Merged Geometrical Homogeneous Clustering for Image Data Reduction. An algorithm to reduce large image datasets maintaining similar accuracy.

Introduction to Unsupervised Machine Learning, number of approaches to unsupervised learning such as K-means clustering, hierarchical agglomerative Clustering and its applications.

For an UK based non-store online retail for which we need to cluster it's customers in to different groups so that we can run targeted campaign for each group

This is a quick and dirty script written in Java to cluster cities modeled as 2D coordinates using hierarchical complete linkage clustering.

Analyze the data of batting figures of batsmen in ODI matches by Choosing strike rate and average as the two factors on which clustering the data

A simple example of data clustering using scikit learn.

University Course Assignment - Pattern Recognition

In this project, unsupervised learning methods, particularly clustering, are employed to determine the optimal algorithm for predicting whether a company has achieved net profit or incurred a net loss.