Searching for Optimal Clustering Procedure for a Data Set
Descriptive statistics calculated separately for each cluster and vari...
Random cluster generation with known structure of clusters
Determination of optimal clustering procedure for a data set
Calculate agreement indices between two partitions
Binary data
Interval data
Mixed data
Nominal data
Ordinal data
Metric data with 17 objects and 10 variables (8 stimulant variables, 2...
Ordinal data with 27 objects and 6 variables (3 stimulant variables, 2...
Ratio data
The evaluation of Polish voivodships tourism attractiveness level
Symbolic interval data
Types of variable (column) and object (row) normalization formulas
Calculates Bray-Curtis distance measure for ratio data
Calculates Generalized Distance Measure
Calculates Sokal-Michener distance measure for nominal variables
Calculates distance between interval-valued symbolic data
Modification of Carmone, Kara & Maxwell Heuristic Identification of No...
Modification of Carmone, Kara & Maxwell Heuristic Identification of No...
Calculates Hubert & Levin C index - internal cluster quality index
Calculates Davies-Bouldin's index
Calculates Calinski-Harabasz pseudo F-statistic
Calculates G2 internal cluster quality index
Calculates G3 internal cluster quality index
Calculates Tibshirani, Walther and Hastie gap index
Calculates Hartigan index
Calculates Krzanowski-Lai index
Calculates Rousseeuw's Silhouette internal cluster quality index
Calculation of initial clusters centers for k-means like alghoritms
Types of normalization formulas for interval-valued symbolic variables
Reinforcing measurement scale for ordinal data
An application of GDM1 distance for metric data to compute the distanc...
An application of GDM2 distance for ordinal data to compute the distan...
Plot categorial data on a scatterplot matrix
Plot symbolic interval-valued data on a scatterplot matrix
Modification of replication analysis for cluster validation
Generation of data set containing two clusters with untypical shapes (...
Generation of data set containing two clusters with untypical ring sha...
Generation of data set containing three clusters with untypical ring s...
Generation of data set containing two clusters with untypical shapes (...
Generation of data set containing two clusters with untypical paraboli...
A spectral clustering algorithm
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) <doi:10.1007/BF02294245>, HUBERT, L., ARABIE, P. (1985) <doi:10.1007%2FBF01908075>, RAND, W.M. (1971) <doi:10.1080/01621459.1971.10482356>, JAJUGA, K., WALESIAK, M. (2000) <doi:10.1007/978-3-642-57280-7_11>, MILLIGAN, G.W., COOPER, M.C. (1988) <doi:10.1007/BF01897163>, JAJUGA, K., WALESIAK, M., BAK, A. (2003) <doi:10.1007/978-3-642-55721-7_12>, DAVIES, D.L., BOULDIN, D.W. (1979) <doi:10.1109/TPAMI.1979.4766909>, CALINSKI, T., HARABASZ, J. (1974) <doi:10.1080/03610927408827101>, HUBERT, L. (1974) <doi:10.1080/01621459.1974.10480191>, TIBSHIRANI, R., WALTHER, G., HASTIE, T. (2001) <doi:10.1111/1467-9868.00293>, BRECKENRIDGE, J.N. (2000) <doi:10.1207/S15327906MBR3502_5>, WALESIAK, M., DUDEK, A. (2008) <doi:10.1007/978-3-540-78246-9_11>).