clusterSim: Searching for Optimal Clustering Procedure for a Data Set
Version 0.47-1

Distance measures (GDM1, GDM2, Sokal-Michener, Bray-Curtis, for symbolic interval-valued data), cluster quality indices (Calinski-Harabasz, Baker-Hubert, Hubert-Levine, Silhouette, Krzanowski-Lai, Hartigan, Gap, Davies-Bouldin), data normalization formulas (metric data, interval-valued symbolic data), data generation (typical and non-typical data), HINoV method, replication analysis, linear ordering methods, spectral clustering, agreement indices between two partitions, plot functions (for categorical and symbolic interval-valued data). (MILLIGAN, G.W., COOPER, M.C. (1985) , HUBERT, L., ARABIE, P. (1985), , RAND, W.M. (1971) , JAJUGA, K., WALESIAK, M. (2000) , MILLIGAN, G.W., COOPER, M.C. (1988) , CORMACK, R.M. (1971) , JAJUGA, K., WALESIAK, M., BAK, A. (2003) , CARMONE, F.J., KARA, A., MAXWELL, S. (1999) , DAVIES, D.L., BOULDIN, D.W. (1979) , CALINSKI, T., HARABASZ, J. (1974) , HUBERT, L. (1974) , TIBSHIRANI, R., WALTHER, G., HASTIE, T. (2001) , KRZANOWSKI, W.J., LAI, Y.T. (1988) , BRECKENRIDGE, J.N. (2000) , WALESIAK, M., DUDEK, A. (2008) ).

Getting started

Package details

AuthorMarek Walesiak <[email protected]>, Andrzej Dudek <[email protected]>
Date of publication2017-11-30 18:11:47 UTC
MaintainerAndrzej Dudek <[email protected]>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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clusterSim documentation built on Dec. 1, 2017, 1:03 a.m.