clusterGeneration v1.3.4

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Random Cluster Generation (with Specified Degree of Separation)

We developed the clusterGeneration package to provide functions for generating random clusters, generating random covariance/correlation matrices, calculating a separation index (data and population version) for pairs of clusters or cluster distributions, and 1-D and 2-D projection plots to visualize clusters. The package also contains a function to generate random clusters based on factorial designs with factors such as degree of separation, number of clusters, number of variables, number of noisy variables.

Functions in clusterGeneration

Name Description
rcorrmatrix GENERATE A RANDOM CORRELATION MATRIX BASED ON RANDOM PARTIAL CORRELATIONS
genRandomClust RANDOM CLUSTER GENERATION WITH SPECIFIED DEGREE OF SEPARATION
nearestNeighborSepVal SEPARATON INFORMATION MATRIX
genPositiveDefMat GENERATE A POSITIVE DEFINITE MATRIX/COVARIANCE MATRIX
viewClusters PLOT ALL CLUSTERS IN A 2-D PROJECTION SPACE
plot1DProjection PLOT A PAIR OF CLUSTERS AND THEIR DENSITY ESTIMATES, WHICH ARE PROJECTED ALONG A SPECIFIED 1-D PROJECTION DIRECTION
simClustDesign DESIGN FOR RANDOM CLUSTER GENERATION WITH SPECIFIED DEGREE OF SEPARATION
getSepProj OPTIMAL PROJECTION DIRECTION AND CORRESPONDING SEPARATION INDEX FOR PAIRS OF CLUSTERS
sepIndex MEASURE THE MAGNITUDE OF THE GAP OR SPARSE AREA BETWEEN A PAIR OF CLUSTERS ALONG THE SPECIFIED PROJECTION DIRECTION
plot2DProjection PLOT A PAIR OF CLUSTERS ALONG A 2-D PROJECTION SPACE
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Details

Date 2015-02-18
License GPL (>= 2)
Packaged 2015-02-18 16:55:16 UTC; stwxq
Repository CRAN
Date/Publication 2015-02-18 19:34:16
NeedsCompilation no

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