# 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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## Last month downloads

## Details

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 |

depends | base (>= 2.0) , R (>= 2.0) |

imports | class , cluster , diptest , flexmix , graphics , grDevices , kernlab , MASS , mclust , methods , mvtnorm , prabclus , robustbase , stats , trimcluster , utils |

Contributors | Christian Hennig |

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