Subject

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Topological Data Analysis

HALDAR, RAJDEEP (2020-06)

This thesis is a mathematical exposition of the theory behind Topological Data Analysis (TDA) complemented by two applications in medicine and financial realm. We start by establishing the foundation of homology theory, ...
Clustering Techniques

BASHEER, AYSHA (2020-12)

Clustering is one of the most widely researched areas in unsupervised learning, where the main aim is to find structures in unlabelled data sets. This is done by partitioning data set into smaller groups or clusters so ...
Applications of Topology to Data Analysis

S., SHAMBHAVI (2021-07)

This thesis aims to serve as an introduction to Topological Data Analysis (TDA), a collection of methods that seek to quantify the topological and geometric features of data using algebraic topology. The theory behind ...

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