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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
2021
Highly Cited
2021
• Users may download and print one copy of any publication from the public portal for the purpose of private study or research… 
Highly Cited
2009
Highly Cited
2009
Latent Dirichlet allocation(LDA) is a generative topic model to find latent topics in a text corpus. It can be trained via… 
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… 
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
1974
Highly Cited
1974
Cluster analysis comprises a range of methods for classifying multivariate data into subgroups. By organising multivariate data… 
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…