{ "_id": "6a1e79961d7bb097a0a64589", "Package": "parallelpam", "Type": "Package", "Title": "Parallel Partitioning-Around-Medoids (PAM) for Big Sets of Data", "Version": "1.4.3", "Date": "2024-07-05", "Author": "Juan Domingo [aut, cre]\n(), Guillermo Ayala\n[ctb] (), Spanish\nMinistry of Science and Innovation, MCIN/AEI\n [fnd]", "Maintainer": "Juan Domingo ", "Authors@R": "c(person(\"Juan\",\"Domingo\", email = \"Juan.Domingo@uv.es\", role=c(\"aut\",\"cre\"), comment=c(ORCID=\"0000-0003-4728-6256\")),\nperson(\"Guillermo\",\"Ayala\", email = \"Guillermo.Ayala@uv.es\", role=c(\"ctb\"), comment=c(ORCID=\"0000-0002-6231-2865\")),\nperson(\"Spanish Ministry of Science and Innovation, MCIN/AEI \", role=c(\"fnd\")))", "Description": "Application of the Partitioning-Around-Medoids (PAM)\nclustering algorithm described in Schubert, E. and Rousseeuw,\nP.J.: \"Fast and eager k-medoids clustering: O(k) runtime\nimprovement of the PAM, CLARA, and CLARANS algorithms.\"\nInformation Systems, vol. 101, p. 101804, (2021).\n. It uses a binary format for\nstoring and retrieval of matrices developed for the 'jmatrix'\npackage but the functionality of 'jmatrix' is included here, so\nyou do not need to install it. Also, it is used by package\n'scellpam', so if you have installed it, you do not need to\ninstall this package. PAM can be applied to sets of data whose\ndissimilarity matrix can be very big. It has been tested with\nup to 100.000 points. It does this with the help of the code\ndeveloped for other package, 'jmatrix', which allows the matrix\nnot to be loaded in 'R' memory (which would force it to be of\ndouble type) but it gets from disk, which allows using float\n(or even smaller data types). Moreover, the dissimilarity\nmatrix is calculated in parallel if the computer has several\ncores so it can open many threads. The initial part of the PAM\nalgorithm can be done with the BUILD or LAB algorithms; the\nBUILD algorithm has been implemented in parallel. The\noptimization phase implements the FastPAM1 algorithm, also in\nparallel. Finally, calculation of silhouette is available and\nalso implemented in parallel.", "License": "GPL (>= 2)", "RoxygenNote": "7.2.3", "Encoding": "UTF-8", "VignetteBuilder": "knitr", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-06-02 06:25:55 UTC", "User": "root" }, "Repository": "https://jdmde.r-universe.dev", "Date/Publication": "2024-07-16 02:46:10 UTC", "RemoteUrl": "https://github.com/cran/parallelpam", "RemoteRef": "HEAD", "RemoteSha": "5b60d6b16c79d072b19a661f7ecc0a8f95165a49", "MD5sum": "4e89becc428f4c6b7fccc3f85e37213c", "_user": "jdmde", "_type": "src", "_file": "parallelpam_1.4.3.tar.gz", "_fileid": "acb21034c016f778af67ac66a9ec823da96a48d2028024ee4b4dd1d4051c1476", "_filesize": 304335, "_sha256": "acb21034c016f778af67ac66a9ec823da96a48d2028024ee4b4dd1d4051c1476", "_created": "2026-06-02T06:25:55.000Z", "_published": "2026-06-02T06:35:02.513Z", "_distro": "noble", "_jobs": [ { "job": 79012378608, "time": 236, "config": "linux-devel-arm64", "r": "4.7.0", "check": 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