Random Cluster Generation (with Specified Degree of Separation)

Documentation for package ‘clusterGeneration’ version 1.3.8

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