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R: Restores a cluster to an arbitrary point in time
...a cluster to an arbitrary point in time. Users can restore to any point in time before LatestRestorableTime for up to BackupRetentionPeriod days. The target cluster is created from the source cluster...
/CRAN/refmans/paws.database/html/docdb_restore_db_cluster_to_point_in_time.html
cran-help matching:
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R: Generate clusters of data points from Gaussian distribution...
gaussian_clusters {ConsensusClustering} R Documentation Generate clusters of data points from Gaussian distribution with randomly generated parameters Description Generate clusters of data points from...
/CRAN/refmans/ConsensusClustering/html/gaussian_clusters.html
cran-help matching:
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R: Restores a DB cluster to an arbitrary point in time
...Restores a DB cluster to an arbitrary point in time Description Restores a DB cluster to an arbitrary point in time. Users can restore to any point in time before LatestRestorableTime for up...
/CRAN/refmans/paws.database/html/neptune_restore_db_cluster_to_point_in_time.html
cran-help matching:
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R: Calculate Total Within Cluster Variance of 3D points
...Calculate Total Within Cluster Variance of 3D points Description Calculates Total Within Cluster Variance(TWCV) of 3D points. This function is normally only used indirectly through 'validate_get_twcv'.
/CRAN/refmans/synr/html/total_within_cluster_variance.html
cran-help matching:
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R: Generate clusters of data points from Gaussian distribution...
...Generate clusters of data points from Gaussian distribution with given parameters Usage gaussian_clusters_with_param(n, center, sigma) Arguments n vector of number of data points in each cluster...
/CRAN/refmans/ConsensusClustering/html/gaussian_clusters_with_param.html
cran-help matching:
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R: Generate clusters of data points from Gaussian-mixture-model...
...Generate clusters of data points from Gaussian-mixture-model distributions with randomly generated parameters Description Generate clusters of data points from Gaussian-mixture-model distributions...
/CRAN/refmans/ConsensusClustering/html/gaussian_mixture_clusters.html
cran-help matching:
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R: Evaluate a clustering using the point-biserial index
...the point-biserial index Description Evaluate a clustering using the point-biserial index Usage evaluate_clustering_ptbiserial(readouts, clustering, sim) Arguments readouts The readouts the clustering...
/CRAN/refmans/MultIS/html/evaluate_clustering_ptbiserial.html
cran-help matching:
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R: Draws from a Dirichlet distribution and shows the clusters...
...adds points to these clusters and shows which clusters are occupied Description Each point is generated one at a time, need to hit enter to generate a new point. Typing "x" will stop the clustering...
/CRAN/refmans/nonparametric.bayes/html/generate_dirichlet_clusters_with_sampled_points.html
cran-help matching:
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R: Choosing the cluster which is closest to a specified point
...cluster which is closest to a specified point Description Choosing the cluster which is closest to a point specified by user. Works only for two dimensional data. Usage choose.cluster(hmacobj,x=NULL...
/CRAN/refmans/Modalclust/html/choose.cluster.html
cran-help matching:
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R: Generate Clustered Points with 'sp'
...Generate Clustered Points with sp Description Uses sp::spsample() with method "clustered" to produce points, converts back to sf, and spatial joins with input shp. Each engine function takes the same...
/CRAN/refmans/dots/html/engine_sp_clustered.html
cran-help matching:
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