fpc v2.1-10

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Flexible Procedures for Clustering

Various methods for clustering and cluster validation. Fixed point clustering. Linear regression clustering. Clustering by merging Gaussian mixture components. Symmetric and asymmetric discriminant projections for visualisation of the separation of groupings. Cluster validation statistics for distance based clustering including corrected Rand index. Cluster-wise cluster stability assessment. Methods for estimation of the number of clusters: Calinski-Harabasz, Tibshirani and Walther's prediction strength, Fang and Wang's bootstrap stability. Gaussian/multinomial mixture fitting for mixed continuous/categorical variables. Variable-wise statistics for cluster interpretation. DBSCAN clustering. Interface functions for many clustering methods implemented in R, including estimating the number of clusters with kmeans, pam and clara. Modality diagnosis for Gaussian mixtures. For an overview see package?fpc.

Functions in fpc

Name Description
clusexpect Expected value of the number of times a fixed point cluster is found
mixdens Density of multivariate Gaussian mixture, mclust parameterisation
adcoord Asymmetric discriminant coordinates
flexmixedruns Fitting mixed Gaussian/multinomial mixtures with flexmix
kmeansruns k-means with estimating k and initialisations
piridge Ridgeline Pi-function
pamk Partitioning around medoids with estimation of number of clusters
plotcluster Discriminant projection plot.
mergeparameters New parameters from merging two Gaussian mixture components
mergenormals Clustering by merging Gaussian mixture components
randcmatrix Random partition matrix
cov.wml Weighted Covariance Matrices (Maximum Likelihood)
cat2bin Recode nominal variables to binary variables
mahalanofix Mahalanobis distances from center of indexed points
ancoord Asymmetric neighborhood based discriminant coordinates
con.comp Connectivity components of an undirected graph
discrproj Linear dimension reduction for classification
discrete.recode Recodes mixed variables dataset
piridge.zeroes Extrema of two-component Gaussian mixture
dridgeline Density along the ridgeline
calinhara Calinski-Harabasz index
diptest.multi Diptest for discriminant coordinate projection
batcoord Bhattacharyya discriminant projection
cweight Weight function for AWC
cluster.stats Cluster validation statistics
itnumber Number of regression fixed point cluster iterations
discrcoord Discriminant coordinates/canonical variates
wfu Weight function (for Mahalabobis distances)
ridgeline.diagnosis Ridgeline plots, ratios and unimodality
lcmixed flexmix method for mixed Gaussian/multinomial mixtures
dudahart2 Duda-Hart test for splitting
extract.mixturepars Extract parameters for certain components from mclust
nselectboot Selection of the number of clusters via bootstrap
sseg Position in a similarity vector
jittervar Jitter variables in a data matrix
can Generation of the tuning constant for regression fixed point clusters
fixmahal Mahalanobis Fixed Point Clusters
unimodal.ind Is a fitted denisity unimodal or not?
kmeansCBI Interface functions for clustering methods
fpc-package fpc package overview
cluster.varstats Variablewise statistics for clusters
mvdcoord Mean/variance differences discriminant coordinates
rFace "Face-shaped" clustered benchmark datasets
mahalconf Mahalanobis fixed point clusters initial configuration
prediction.strength Prediction strength for estimating number of clusters
tonedata Tone perception data
simmatrix Extracting intersections between clusters from fpc-object
bhattacharyya.matrix Matrix of pairwise Bhattacharyya distances
confusion Misclassification probabilities in mixtures
weightplots Ordered posterior plots
cmahal Generation of tuning constant for Mahalanobis fixed point clusters.
zmisclassification.matrix Matrix of misclassification probabilities between mixture components
distcritmulti Distance based validity criteria for large data sets
mahalanodisc Mahalanobis for AWC
awcoord Asymmetric weighted discriminant coordinates
dipp.tantrum Simulates p-value for dip test
minsize Minimum size of regression fixed point cluster
clucols Sets of colours and symbols for cluster plotting
fixreg Linear Regression Fixed Point Clusters
fpclusters Extracting clusters from fixed point cluster objects
mixpredictive Prediction strength of merged Gaussian mixture
dbscan DBSCAN density reachability and connectivity clustering
ridgeline Ridgeline computation
bhattacharyya.dist Bhattacharyya distance between Gaussian distributions
randconf Generate a sample indicator vector
localshape Local shape matrix
clusterboot Clusterwise cluster stability assessment by resampling
distancefactor Factor for dissimilarity of mixed type data
classifdist Classification of unclustered points
clujaccard Jaccard similarity between logical vectors
regmix Mixture Model ML for Clusterwise Linear Regression
ncoord Neighborhood based discriminant coordinates
tdecomp Root of singularity-corrected eigenvalue decomposition
solvecov Inversion of (possibly singular) symmetric matrices
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Date 2015-08-13
License GPL
URL http://www.homepages.ucl.ac.uk/~ucakche/
Packaged 2015-08-13 17:09:22 UTC; chrish
NeedsCompilation no
Repository CRAN
Date/Publication 2015-08-14 08:27:19

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