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 postkcluster [dpmixsim v0.0-9]

keywords

cluster

title

Segmentation with a fixed number of clusters

description

postkcluster re-clusters the data with a user-specified number of components, and displays the segmented image.

Function info [flexclust v1.4-0]

keywords

cluster

title

Get Information on Fitted Flexclust Objects

description

Returns descriptive information about fitted flexclust objects like cluster sizes or sum of within-cluster distances.

Function clusterSim [flexclust v1.4-0]

keywords

cluster

title

Cluster Similarity Matrix

description

Returns a matrix of cluster similarities. Currently two methods for computing similarities of clusters are implemented, see details below.

Function conversion [flexclust v1.4-0]

keywords

cluster

title

Conversion Between S3 Partition Objects and KCCA

description

These functions can be used to convert the results from cluster functions like kmeans or pam to objects of class "kcca" and vice versa.