Function miscellaneous [flowClust v3.10.1]

keywords

cluster

title

Various Functions for Retrieving Information from Clustering Results

description

Various functions are available to retrieve the information criteria (criterion), the posterior probabilities of clustering memberships $z$ (posterior), the “weights” $u$ (importance), the uncertainty (uncertainty), and the estimates of the cluster proportions, means and variances (getEstimates) resulted from the clustering (filtering) operation.

Function Map,flowClust-method [flowClust v3.10.1]

keywords

cluster

title

Cluster Assignment Based on Clustering Results

description

This method performs cluster assignment according to the posterior probabilities of clustering memberships resulted from the clustering (filtering) operations. Outliers identified will be left unassigned by default.

Function mergeClusters2 [flowMerge v2.20.0]

keywords

cluster

title

Cluster merging not meant to be called by the user

description

Internal function not meant to be called by the user.

Function mergeClusters [flowMerge v2.20.0]

keywords

cluster

title

Cluster merging not meant to be called by the user

description

Internal cluster merging function.

Function gpuHclust [gputools v1.1]

keywords

cluster

title

Perform Hierarchical Clustering for Vectors with a GPU

description

This function performs clustering on a set of points. The distance between each pair of points should be calculated first using a function like 'gpuDist' or 'dist'.

Function gpuDistClust [gputools v1.1]

keywords

cluster

title

Compute Distances and Hierarchical Clustering for Vectors on a GPU

description

This function takes a set of vectors and performs clustering on them. The function will first calculate the distance between all of the pairs of vectors and then use the distances to cluster the vectors. Both of these steps are done on the GPU.

Function adjustedRand [clues v0.6.2.2]

keywords

cluster

title

Calculate Agreement Indices Between Two Partitions for a Data Set

description

Calculate the five agreement indices: Rand index, Hubert and Arabie's adjusted Rand index, Morey and Agresti's adjusted Rand index, Fowlkes and Mallows's index, and Jaccard index, which measure the agreement between any two partitions for a data set.

Function get_Silhouette [clues v0.6.2.2]

keywords

cluster

title

Compute Silhouette Index

description

Compute Silhouette index for a given partition of a data set.

Function compClust [clues v0.6.2.2]

keywords

cluster

title

Compare different partitions for a data set

description

Compare different partitions for a data set based on agreement indices, average sihouette index and CH index.

Function Vowel [clues v0.6.2.2]

keywords

cluster

title

The Vowel Data Set

description

The vowel data set studied in Hastie, Tibshirani and Friedman (2001).