{ "_id": "6a484236e06c18f0a6532ef5", "Package": "clusterGeneration", "Version": "1.3.8", "Date": "2023-08-15", "Title": "Random Cluster Generation (with Specified Degree of Separation)", "Author": "Weiliang Qiu , Harry Joe\n.", "Maintainer": "Weiliang Qiu ", "Description": "We developed the clusterGeneration package to provide\nfunctions for generating random clusters, generating random\ncovariance/correlation matrices, calculating a separation index\n(data and population version) for pairs of clusters or cluster\ndistributions, and 1-D and 2-D projection plots to visualize\nclusters. The package also contains a function to generate\nrandom clusters based on factorial designs with factors such as\ndegree of separation, number of clusters, number of variables,\nnumber of noisy variables.", "License": "GPL (>= 2)", "Packaged": { "Date": "2026-07-03 23:11:36 UTC", "User": "root" }, "NeedsCompilation": "no", "Repository": "https://weiliang.r-universe.dev", "Date/Publication": "2023-08-16 05:30:43 UTC", "RemoteUrl": "https://github.com/cran/clusterGeneration", "RemoteRef": "HEAD", "RemoteSha": "9686937c56456e00dc9e3adf41bb8fd8cfa718b3", "_user": "weiliang", "_type": "src", "_file": "clusterGeneration_1.3.8.tar.gz", "_fileid": "https://r2.ropensci.org/ce91d36eb8fd980770fdee123b91ac037fd0b96071e6acc0346ceec3b628318e", "_filesize": 345064, "_sha256": "ce91d36eb8fd980770fdee123b91ac037fd0b96071e6acc0346ceec3b628318e", "_expires": "2026-10-11T23:13:56.000Z", "_created": "2026-07-03T23:11:36.000Z", "_published": "2026-07-03T23:13:58.670Z", "_jobs": [ { "job": 85082230146, 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"nearestNeighborSepVal" ] }, { "page": "plot1DProjection", "title": "PLOT A PAIR OF CLUSTERS AND THEIR DENSITY ESTIMATES, WHICH ARE PROJECTED ALONG A SPECIFIED 1-D PROJECTION DIRECTION", "topics": [ "plot1DProjection" ] }, { "page": "plot2DProjection", "title": "PLOT A PAIR OF CLUSTERS ALONG A 2-D PROJECTION SPACE", "topics": [ "plot2DProjection" ] }, { "page": "rcorrmatrix", "title": "GENERATE A RANDOM CORRELATION MATRIX BASED ON RANDOM PARTIAL CORRELATIONS", "topics": [ "rcorrmatrix" ] }, { "page": "sepIndex", "title": "MEASURE THE MAGNITUDE OF THE GAP OR SPARSE AREA BETWEEN A PAIR OF CLUSTERS ALONG THE SPECIFIED PROJECTION DIRECTION", "topics": [ "sepIndex", "sepIndexData", "sepIndexTheory" ] }, { "page": "simClustDesign", "title": "DESIGN FOR RANDOM CLUSTER GENERATION WITH SPECIFIED DEGREE OF SEPARATION", "topics": [ "simClustDesign" ] }, { "page": "viewClusters", "title": "PLOT ALL CLUSTERS IN A 2-D PROJECTION SPACE", "topics": [ "viewClusters" ] } ], "_rundeps": [ "MASS" ], 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