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Cluster analysis

Known as: Cluster (statistics), Cluster analyses, Clustering metric 
Cluster analysis or clustering is the task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more… 
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Papers overview

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Highly Cited
2014
Highly Cited
2014
  • B. Everitt
  • Encyclopedia of Social Network Analysis and…
  • 2014
  • Corpus ID: 34151421
Cluster analysis comprises a range of methods for classifying multivariate data into subgroups. By organising multivariate data… 
Review
2004
Review
2004
DNA microarray technology has now made it possible to simultaneously monitor the expression levels of thousands of genes during… 
Highly Cited
2001
Highly Cited
2001
Despite many empirical successes of spectral clustering methods— algorithms that cluster points using eigenvectors of matrices… 
Review
1999
Review
1999
Clustering is the unsupervised classification of patterns (observations, data items, or feature vectors) into groups (clusters… 
Highly Cited
1998
Highly Cited
1998
We consider the problem of determining the structure of clustered data, without prior knowledge of the number of clusters or any… 
Highly Cited
1991
Highly Cited
1991
An electrical signal transmission system, applicable to the transmission of signals from trackside hot box detector equipment for… 
Review
1984
Review
1984
Back in print at a good price. To see the many websites referencing this book, in Google enter "cluster analysis" (in quotes) and… 
Highly Cited
1984
Highly Cited
1984
SYSTAT provides a variety of cluster analysis methods on rectangular or symmetric data matrices. Cluster analysis is a… 
Highly Cited
1974
Highly Cited
1974
It is sometimes useful in an analysis of variance to split the treatments into reasonably homogeneous groups. Multiple comparison… 
Highly Cited
1969
Highly Cited
1969
Minimum spanning trees (MST) and single linkage cluster analysis (SLCA) are explained and it is shown that all the information…