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What and Who

Streaming k-means Clustering

Ragesh Jaiswal
Max-Planck-Institut für Informatik - D1
AG1 Mittagsseminar (own work)
AG 1, AG 3, AG 5, SWS, AG 4, RG1, MMCI  
AG Audience
English

Date, Time and Location

Tuesday, 28 June 2011
13:00
30 Minutes
E1 4
024
Saarbrücken

Abstract

I will talk about clustering algorithms that approximately optimizes the k-means objective function in the streaming setting. We will first look at a bi-criterion batch algorithm for k-means problem that is based on the k-means++ algorithm and then use it in a hierarchical manner to obtain a streaming algorithm. Finally, we discuss some interesting open questions.

This is a joint work with Claire Monteleoni and Nir Ailon.

Contact

Madhusudan Manjunath
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Madhusudan Manjunath, 06/24/2011 18:15 -- Created document.