{ "_id": "6a16c88dacfb0bcc41d890aa", "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": "2026-05-27 10:31:02 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", "MD5sum": "165a32185cd91ddd36580b3cf892e8b0", "_user": "weiliang", "_type": "src", "_file": "clusterGeneration_1.3.8.tar.gz", "_fileid": "521c2d1b50ac83eb79a69acf5c7619c5014fadec3d588415f147ff30f2611237", "_filesize": 343009, "_sha256": "521c2d1b50ac83eb79a69acf5c7619c5014fadec3d588415f147ff30f2611237", "_created": "2026-05-27T10:31:02.000Z", "_published": "2026-05-27T10:33:49.016Z", "_distro": "noble", "_jobs": [ { "job": 78057851387, 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"weiliang" }, "_downloads": { "count": 16741, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/clusterGeneration" }, "_mentions": 5, "_searchresults": 301, "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/clusterGeneration.html", "extra/contents.json", "extra/NEWS.html", "extra/NEWS.txt", "manual.pdf" ], "_realowner": "weiliang", "_cranurl": false, "_releases": [ { "version": "1.2.0", "date": "2006-11-13" }, { "version": "1.2.1", "date": "2007-07-07" }, { "version": "1.2.4", "date": "2007-10-30" }, { "version": "1.2.7", "date": "2009-02-04" }, { "version": "1.2.8", "date": "2012-03-20" }, { "version": "1.2.9", "date": "2012-04-02" }, { "version": "1.3.1", "date": "2013-01-08" }, { "version": "1.3.4", "date": "2015-02-18" }, { "version": "1.3.5", "date": "2020-10-05" }, { "version": "1.3.6", "date": "2020-11-22" }, { "version": "1.3.7", "date": "2020-12-15" }, { "version": "1.3.8", "date": 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"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" ], "_score": 6.907822928734547, "_indexed": true, "_nocasepkg": 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