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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.