<--- Back to Details
First PageDocument Content
Mixture model / Hierarchical clustering / Computer cluster / Entropy / Expectation–maximization algorithm / Determining the number of clusters in a data set / Statistics / Cluster analysis / Machine learning
Date: 2011-05-24 20:39:20
Mixture model
Hierarchical clustering
Computer cluster
Entropy
Expectation–maximization algorithm
Determining the number of clusters in a data set
Statistics
Cluster analysis
Machine learning

Combining Mixture Components for Clustering

Add to Reading List

Source URL: www.stat.washington.edu

Download Document from Source Website

File Size: 1,89 MB

Share Document on Facebook

Similar Documents

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

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

DocID: 1rtvl - View Document

Statistics / Mathematics / Academia / Machine learning / Statistical classification / K-means clustering / Variable / Level of measurement / Determining the number of clusters in a data set / Geodemographic segmentation / Cluster analysis

WORKING PAPERA NEW CLASSIFICATION OF UK LOCAL AUTHORITIES USING 2001 CENSUS KEY STATISTICS

DocID: 1rfvS - View Document

Statistics / Data analysis / Hierarchical clustering / Network analysis / Cluster analysis / Data / Bioinformatics / Single-linkage clustering / Determining the number of clusters in a data set

262 Genome Informatics 13: 262–A Novel Clustering Algorithm with Map Energy Minimization

DocID: 1r0cY - View Document

Statistics / Data mining / Cluster analysis / Information / Geostatistics / Feature selection / Machine learning / Determining the number of clusters in a data set / Document clustering

ISSN No: International Journal & Magazine of Engineering, Technology, Management and Research A Monthly Peer Reviewed Open Access International e-Journal

DocID: 1qYy9 - View Document

Cluster analysis / Statistics / Image processing / Microscopes / Protein structure / Single particle analysis / Data analysis / Hierarchical clustering / Determining the number of clusters in a data set / Computational statistics / K-means clustering / Transmission electron microscopy

Genome Informatics 11: 151–Clustering and Averaging of Images in Single-Particle Analysis

DocID: 1qUzU - View Document