A comprehensive survey of clustering algorithms
Data analysis is used as a common method in modern science research, which is across
communication science, computer science and biology science. Clustering, as the basic …
communication science, computer science and biology science. Clustering, as the basic …
Finite mixture models
GJ McLachlan, SX Lee… - Annual review of statistics …, 2019 - annualreviews.org
The important role of finite mixture models in the statistical analysis of data is underscored
by the ever-increasing rate at which articles on mixture applications appear in the statistical …
by the ever-increasing rate at which articles on mixture applications appear in the statistical …
[图书][B] Data clustering: theory, algorithms, and applications
The monograph Data Clustering: Theory, Algorithms, and Applications was published in
2007. Starting with the common ground and knowledge for data clustering, the monograph …
2007. Starting with the common ground and knowledge for data clustering, the monograph …
[图书][B] Finite mixture and Markov switching models
S Frühwirth-Schnatter - 2006 - Springer
Modelling based on finite mixture distributions is a rapidly developing area with the range of
applications exploding. Finite mixture models are nowadays applied in such diverse areas …
applications exploding. Finite mixture models are nowadays applied in such diverse areas …
A framework for feature selection in clustering
DM Witten, R Tibshirani - Journal of the American Statistical …, 2010 - Taylor & Francis
We consider the problem of clustering observations using a potentially large set of features.
One might expect that the true underlying clusters present in the data differ only with respect …
One might expect that the true underlying clusters present in the data differ only with respect …
Genesis: cluster analysis of microarray data
A Sturn, J Quackenbush, Z Trajanoski - Bioinformatics, 2002 - academic.oup.com
A versatile, platform independent and easy to use Java suite for large-scale gene
expression analysis was developed. Genesis integrates various tools for microarray data …
expression analysis was developed. Genesis integrates various tools for microarray data …
Cluster analysis for gene expression data: a survey
DNA microarray technology has now made it possible to simultaneously monitor the
expression levels of thousands of genes during important biological processes and across …
expression levels of thousands of genes during important biological processes and across …
clValid: An R package for cluster validation
The R package clValid contains functions for validating the results of a clustering analysis.
There are three main types of cluster validation measures available," internal"," stability" …
There are three main types of cluster validation measures available," internal"," stability" …
Selection bias in gene extraction on the basis of microarray gene-expression data
C Ambroise, GJ McLachlan - Proceedings of the national …, 2002 - National Acad Sciences
In the context of cancer diagnosis and treatment, we consider the problem of constructing an
accurate prediction rule on the basis of a relatively small number of tumor tissue samples of …
accurate prediction rule on the basis of a relatively small number of tumor tissue samples of …
Mixture models with a prior on the number of components
JW Miller, MT Harrison - Journal of the American Statistical …, 2018 - Taylor & Francis
ABSTRACT A natural Bayesian approach for mixture models with an unknown number of
components is to take the usual finite mixture model with symmetric Dirichlet weights, and …
components is to take the usual finite mixture model with symmetric Dirichlet weights, and …