Clustering: K -means and Kernel K -means Piyush Rai Machine Learning (CS771A) Aug 31, 2016 Machine Learning (CS771A)

Source URL: cse.iitk.ac.in

CSE 291: Geometric algorithms Spring 2013 Lecture 3 — Algorithms for k-means clustering

Source URL: cseweb.ucsd.edu

Parallel K -Means Clustering Based on MapReduce Weizhong Zhao1,2 , Huifang Ma1,2 , and Qing He1 1 The Key Laboratory of Intelligent Information Processing, Institute of Computing

Source URL: www.cs.ucsb.edu

A Smoothed Analysis of the k-Means Method DAVID ARTHUR, Stanford University, Department of Computer Science BODO MANTHEY, University of Twente, Department of Applied Mathematics ¨ HEIKO ROGLIN

Source URL: wwwhome.math.utwente.nl

Streaming k-means approximation Nir Ailon Google Research Ragesh Jaiswal∗

Source URL: papers.nips.cc

k-means--: A unified approach to clustering and outlier detection Sanjay Chawla∗ Aristides Gionis† Abstract

Source URL: pmg.it.usyd.edu.au

1 Parallel k-Means in Theory and Practice • Input: – Number of desired means k ∈ N – Set of points P ⊂ Rd (or multiset) • Output: – Set of k means C = {c1 , . . . , ck }

Source URL: florian-schoppmann.net

V-Measure: A conditional entropy-based external cluster evaluation measure Andrew Rosenberg and Julia Hirschberg Department of Computer Science Columbia University New York, NY 10027

Source URL: www1.cs.columbia.edu

• Statistics
• Cluster analysis
• Information science
• Data analysis
• Data mining
• Geostatistics
• Hierarchical clustering
• K-means clustering
• Document clustering
• Biclustering
• Consensus clustering
• Determining the number of clusters in a data set

WEYAND, DESELAERS, NEY: LOG-LINEAR MIXTURES 1 Log-Linear Mixtures for Object Class Recognition

Source URL: thomas.deselaers.de

• Machine learning
• Artificial intelligence
• Learning
• Statistics
• Mixture model
• Log-linear model
• Pattern recognition
• K-means clustering
• Linear classifier

¨ ETH Zurich Computer Science Department Prof. Marc Pollefeys Prof. Luc Van Gool

Source URL: www.cvg.ethz.ch

• Artificial intelligence
• Statistics
• Machine learning
• Nonparametric statistics
• Statistical classification
• Feature detection
• Learning
• Histogram
• Naive Bayes classifier
• Outline of object recognition
• K-means clustering
• Bag-of-words model