LinkCluE: A MATLAB Package for Link-Based Cluster Ensembles

Cluster ensembles have emerged as a powerful meta-learning paradigm that provides improved accuracy and robustness by aggregating several input data clusterings. In particular, link-based similarity methods have recently been introduced with superior performance to the conventional co-association approach. This paper presents a MATLAB package, LinkCluE, that implements the link-based cluster ensemble framework. A variety of functional methods for evaluating clustering results, based on both internal and external criteria, are also provided. Additionally, the underlying algorithms together with the sample uses of the package with interesting real and synthetic datasets are demonstrated herein.

Meta-optimizations for Cluster Analysis

This dissertation thesis deals with advances in the automation of cluster analysis.This dissertation thesis deals with advances in the automation of cluster analysis

An application of user segmentation and predictive modelling at a telecom company

Internship report presented as partial requirement for obtaining the Master’s degree in Advanced AnalyticsInternship Report presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics“The squeaky wheel gets the grease” is an American proverb used to convey the notion that only those who speak up tend to be heard. This was believed to be the case at the telecom company I interned at – they believed that while those who complain about an issue (in particular, an issue of no access to the service) get their problem resolved, there are others who have an issue but do not complain about it. The latter are likely to be dissatisfied customers, and must be identified. This report describes the approach taken to address this problem using machine learning. Unsupervised learning was used to segment the customer base into user profiles based on their viewing behaviour, to better understand their needs; and supervised learning was used to develop a predictive model to identify customers who have no access to the TV service, and to explore what factors (or combination of factors) are indicative of this issue