# Random Cluster Generation (with Specified Degree of Separation)

## Documentation for package ‘clusterGeneration’ version 1.3.4

- DESCRIPTION file.
- Package NEWS.

## Help Pages

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