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optpart (version 3.0-3)

Optimal Partitioning of Similarity Relations

Description

Contains a set of algorithms for creating partitions and coverings of objects largely based on operations on (dis)similarity relations (or matrices). There are several iterative re-assignment algorithms optimizing different goodness-of-clustering criteria. In addition, there are covering algorithms 'clique' which derives maximal cliques, and 'maxpact' which creates a covering of maximally compact sets. Graphical analyses and conversion routines are also included.

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Version

Install

install.packages('optpart')

Monthly Downloads

37

Version

3.0-3

License

GPL (>= 2)

Maintainer

David Roberts

Last Published

January 19th, 2020

Functions in optpart (3.0-3)

mergeclust

Merge Specified Clusters in a Classification
disdiam

Dissimilarity Diameters of a Partition
gensilwidth

Generalized Silhouette Width
extract

Extract A Specific Cluster Solution From A Stride
murdoch

Indicator Species Analysis by Murdoch Preference Function
flexbeta

Calculate a Flexible-Beta Dendrogram
neighbor

Neighbor Analysis of Partitions
bestfit

Identify the Goodness-of-Fit of Cluster Members
optimclass

Optimum Classification by Counts of Indicator Species
maxsimset

Maximally Similar Sets Analysis
lambda

Goodman- Kruskal Lambda Index of Classification Association
optpart.internal

Internal Optpart Functions
optindval

Optimizing Classification by Maximizing Dufrene and Legendre's Indicator Value
partition

Convert Object to Partition Object
stride

Stride: Producing a Sequence of Clusterings
tabdev

Classification Validity Assessment by Table Deviance
phi

Calculating the phi Statistic on Taxon Classifications
slice

Slice a Hierarchical Clustering Dendrogram with a Mouse
silhouette.partana

Produce a Silhouette Object From a Partana, Clustering, or Stride Object
optsil

Clustering by Optimizing Silhouette Widths
opttdev

Optimizing Classification by Minimizing Table Deviance
optpart

Optimal Partitioning of Dissimilarity/Distance Matrices
partana

Partition Analysis
testpart

Identify Misclassified Plots in a Partition
typal

Identification of Typal Samples in a Partition
reordclust

Re-order Clusters in a Classification
refine

Refining a Classification by Re-Assigning Memberships
shoshsite

Site Data for the Shoshone National Forest, Wyoming, USA
shoshveg

Vascular Plant Species Cover for the Shoshone National Forest, Wyoming, USA
classmatch

Classification Matching and Differencing
consider

Recommendations for Possible Merging of Clusters
bestopt

Best Of Set Optimal Partitions From Random Starts
clustering

Clustering Object
confus

(Fuzzy) Confusion Matrix
compare

Compare Species Constancy for Specified Clusters
archi

Archipelago Analysis
clique.test

Clique Test
clique

Maximal Clique Analysis