Scalable k-means++

This repository contains the deliverables for Jeffrey Lehmann, Zachary Nawrocki, and Ziping Song's pedagogical course project in CSCI 4961, Randomized Algorithms for Machine Learning and Optimization, at Rensselaer Polytechnic Institute.

The topic we selected was Scalable k-means++, based on the following paper: https://arxiv.org/pdf/1203.6402.pdf

Contents

1. Empirical Evaluations
2. Slides
3. Problem Set

The video presentation is linked through Rensselaer's Box storage here.