Package: clusterGeneration 1.3.8
clusterGeneration: Random Cluster Generation (with Specified Degree of Separation)
We developed the clusterGeneration package to provide functions for generating random clusters, generating random covariance/correlation matrices, calculating a separation index (data and population version) for pairs of clusters or cluster distributions, and 1-D and 2-D projection plots to visualize clusters. The package also contains a function to generate random clusters based on factorial designs with factors such as degree of separation, number of clusters, number of variables, number of noisy variables.
Authors:
clusterGeneration_1.3.8.tar.gz
clusterGeneration_1.3.8.zip(r-4.5)clusterGeneration_1.3.8.zip(r-4.4)clusterGeneration_1.3.8.zip(r-4.3)
clusterGeneration_1.3.8.tgz(r-4.4-any)clusterGeneration_1.3.8.tgz(r-4.3-any)
clusterGeneration_1.3.8.tar.gz(r-4.5-noble)clusterGeneration_1.3.8.tar.gz(r-4.4-noble)
clusterGeneration_1.3.8.tgz(r-4.4-emscripten)clusterGeneration_1.3.8.tgz(r-4.3-emscripten)
clusterGeneration.pdf |clusterGeneration.html✨
clusterGeneration/json (API)
NEWS
| # Install 'clusterGeneration' in R: |
| install.packages('clusterGeneration', repos = c('https://weiliang.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 years agofrom:9686937c56. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 08 2024 |
| R-4.5-win | OK | Nov 08 2024 |
| R-4.5-linux | OK | Nov 08 2024 |
| R-4.4-win | OK | Nov 08 2024 |
| R-4.4-mac | OK | Nov 08 2024 |
| R-4.3-win | OK | Nov 08 2024 |
| R-4.3-mac | OK | Nov 08 2024 |
Exports:genOrthogonalgenPositiveDefMatgenRandomClustgetSepProjDatagetSepProjTheorynearestNeighborSepValplot1DProjectionplot2DProjectionrcorrmatrixsepIndexDatasepIndexTheorysimClustDesignviewClusters
Dependencies:MASS
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Generate An Orthogonal Matrix | genOrthogonal |
| GENERATE A POSITIVE DEFINITE MATRIX/COVARIANCE MATRIX | genPositiveDefMat |
| RANDOM CLUSTER GENERATION WITH SPECIFIED DEGREE OF SEPARATION | genRandomClust |
| OPTIMAL PROJECTION DIRECTION AND CORRESPONDING SEPARATION INDEX FOR PAIRS OF CLUSTERS | getSepProj getSepProjData getSepProjTheory |
| SEPARATON INFORMATION MATRIX | nearestNeighborSepVal |
| PLOT A PAIR OF CLUSTERS AND THEIR DENSITY ESTIMATES, WHICH ARE PROJECTED ALONG A SPECIFIED 1-D PROJECTION DIRECTION | plot1DProjection |
| PLOT A PAIR OF CLUSTERS ALONG A 2-D PROJECTION SPACE | plot2DProjection |
| GENERATE A RANDOM CORRELATION MATRIX BASED ON RANDOM PARTIAL CORRELATIONS | rcorrmatrix |
| MEASURE THE MAGNITUDE OF THE GAP OR SPARSE AREA BETWEEN A PAIR OF CLUSTERS ALONG THE SPECIFIED PROJECTION DIRECTION | sepIndex sepIndexData sepIndexTheory |
| DESIGN FOR RANDOM CLUSTER GENERATION WITH SPECIFIED DEGREE OF SEPARATION | simClustDesign |
| PLOT ALL CLUSTERS IN A 2-D PROJECTION SPACE | viewClusters |
