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General: 663 |
P2: Spectral Clustering on Handwritten Digits Database
Author: Danielle Middlebrooks , Advisor: Kasso Okoudjou (Math)
Problem Statement Presentation
Project Proposal
Abstract
Spectral Clustering is a technique used to group together data points of similar behavior in order to analyze the overall data. The goal of this project will be to implement a spectral clustering algorithm on the MNIST handwritten digits database in which we will be able to cluster similar images using a similarity matrix derived from the dataset. We will develop code in order to implement each step of the algorithm and optimize to efficiently obtain a reasonable clustering of the dataset.
MidYear Progress Report and
Presentation
Final Presentation ,
Final Report
