<--- Back to Details
First PageDocument Content
Multivariate statistics / Consensus clustering / Adjusted mutual information / Rand index / Variation of information / Mutual information / Fowlkes–Mallows Index / Statistics / Machine learning / Cluster analysis
Date: 2009-06-26 16:24:03
Multivariate statistics
Consensus clustering
Adjusted mutual information
Rand index
Variation of information
Mutual information
Fowlkes–Mallows Index
Statistics
Machine learning
Cluster analysis

Add to Reading List

Source URL: www.ima.umn.edu

Download Document from Source Website

File Size: 293,57 KB

Share Document on Facebook

Similar Documents

Measurement of quality in cluster analysis Christian Hennig Department of Statistical Science, University College London, UK   There is much work on benchmarking is supervised classification, where

Measurement of quality in cluster analysis Christian Hennig Department of Statistical Science, University College London, UK There is much work on benchmarking is supervised classification, where

DocID: 14Nor - View Document

Comparing Clusterings – an information based distance Marina Meil˘a ∗  Abstract

Comparing Clusterings – an information based distance Marina Meil˘a ∗ Abstract

DocID: 10Bmp - View Document

   Choosing a Clustering: An A Posteriori Method for Social Networks Samuel D. Pimentel Department of Statistics, Wharton School of the University of Pennsylvania, [removed]

  Choosing a Clustering: An A Posteriori Method for Social Networks Samuel D. Pimentel Department of Statistics, Wharton School of the University of Pennsylvania, [removed]

DocID: QTGH - View Document

to appear in: Proceedings of the 14th SIAM International Conference on Data Mining (SDM), Philadelphia, PA, 2014 Density-Based Clustering Validation Davoud Moulavi∗

to appear in: Proceedings of the 14th SIAM International Conference on Data Mining (SDM), Philadelphia, PA, 2014 Density-Based Clustering Validation Davoud Moulavi∗

DocID: MtM8 - View Document

INAUGURAL ARTICLE  General purpose computer-assisted clustering and conceptualization Justin Grimmera and Gary Kingb,1 a

INAUGURAL ARTICLE General purpose computer-assisted clustering and conceptualization Justin Grimmera and Gary Kingb,1 a

DocID: y7of - View Document