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Posters
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clValid, an R Package for Cluster Validation
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Guy N. Brock1, Vasyl Pihur1, Susmita Datta1, Somnath
Datta1 |
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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," and "biological." The user can choose
from a variety of clustering algorithms, including hierarchical, K-means, self-organizing
maps (SOM), model based, the self-organising tree algorithm (SOTA), and others.
Any combination of validation measures and clustering methods can be requested in
a single function call. This allows the user to simultaneously evaluate several
clustering algorithms while varying the number of clusters, to help determine the
most appropriate method and and number of clusters for the dataset of interest.
The function returns an object of S4 class clValid, which has summary,
plot, print, and additional methods which allow the user to display the optimal
validation scores and extract clustering results. The clValid package is
available at http://louisville.edu/~g0broc01/research/.
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1Department of Bioinformatics and Biostatistics, School of Public Health
and Information Sciences, Universtiy of Louisville, Louisville, KY
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