# fpc v2.2-4

Monthly downloads

## 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.
Standardisation of cluster validation statistics by random clusterings and
comparison between many clustering methods and numbers of clusters based on
this.
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 | |

adcoord | Asymmetric discriminant coordinates | |

batcoord | Bhattacharyya discriminant projection | |

calinhara | Calinski-Harabasz index | |

ancoord | Asymmetric neighborhood based discriminant coordinates | |

clusterbenchstats | Run and validate many clusterings | |

cluster.varstats | Variablewise statistics for clusters | |

clusexpect | Expected value of the number of times a fixed point cluster is found | |

clustatsum | Compute and format cluster validation statistics | |

cgrestandard | Standardise cluster validation statistics by random clustering results | |

can | Generation of the tuning constant for regression fixed point clusters | |

classifdist | Classification of unclustered points | |

con.comp | Connectivity components of an undirected graph | |

clucols | Sets of colours and symbols for cluster plotting | |

clusterboot | Clusterwise cluster stability assessment by resampling | |

cweight | Weight function for AWC | |

confusion | Misclassification probabilities in mixtures | |

cvnn | Cluster validation based on nearest neighbours | |

cat2bin | Recode nominal variables to binary variables | |

dudahart2 | Duda-Hart test for splitting | |

distancefactor | Factor for dissimilarity of mixed type data | |

cdbw | CDbw-index for cluster validation | |

distcritmulti | Distance based validity criteria for large data sets | |

cmahal | Generation of tuning constant for Mahalanobis fixed point clusters. | |

distrsimilarity | Similarity of within-cluster distributions to normal and uniform | |

dridgeline | Density along the ridgeline | |

jittervar | Jitter variables in a data matrix | |

itnumber | Number of regression fixed point cluster iterations | |

fpclusters | Extracting clusters from fixed point cluster objects | |

extract.mixturepars | Extract parameters for certain components from mclust | |

fpc-package | fpc package overview | |

mergeparameters | New parameters from merging two Gaussian mixture components | |

plotcluster | Discriminant projection plot. | |

prediction.strength | Prediction strength for estimating number of clusters | |

minsize | Minimum size of regression fixed point cluster | |

rFace | "Face-shaped" clustered benchmark datasets | |

clujaccard | Jaccard similarity between logical vectors | |

dbscan | DBSCAN density reachability and connectivity clustering | |

lcmixed | flexmix method for mixed Gaussian/multinomial mixtures | |

diptest.multi | Diptest for discriminant coordinate projection | |

kmeansCBI | Interface functions for clustering methods | |

discrcoord | Discriminant coordinates/canonical variates | |

mixdens | Density of multivariate Gaussian mixture, mclust parameterisation | |

dipp.tantrum | Simulates p-value for dip test | |

kmeansruns | k-means with estimating k and initialisations | |

findrep | Finding representatives for cluster border | |

cluster.magazine | Run many clustering methods on many numbers of clusters | |

cov.wml | Weighted Covariance Matrices (Maximum Likelihood) | |

cluster.stats | Cluster validation statistics | |

fixmahal | Mahalanobis Fixed Point Clusters | |

neginc | Neg-entropy normality index for cluster validation | |

localshape | Local shape matrix | |

nselectboot | Selection of the number of clusters via bootstrap | |

solvecov | Inversion of (possibly singular) symmetric matrices | |

sseg | Position in a similarity vector | |

stupidkaven | Stupid average dissimilarity random clustering | |

discrete.recode | Recodes mixed variables dataset | |

cqcluster.stats | Cluster validation statistics (version for use with clusterbenchstats | |

discrproj | Linear dimension reduction for classification | |

randcmatrix | Random partition matrix | |

mixpredictive | Prediction strength of merged Gaussian mixture | |

piridge.zeroes | Extrema of two-component Gaussian mixture | |

plot.valstat | Simulation-standardised plot and print of cluster validation statistics | |

wfu | Weight function (for Mahalabobis distances) | |

simmatrix | Extracting intersections between clusters from fpc-object | |

mahalconf | Mahalanobis fixed point clusters initial configuration | |

mergenormals | Clustering by merging Gaussian mixture components | |

ridgeline.diagnosis | Ridgeline plots, ratios and unimodality | |

weightplots | Ordered posterior plots | |

tdecomp | Root of singularity-corrected eigenvalue decomposition | |

tonedata | Tone perception data | |

pamk | Partitioning around medoids with estimation of number of clusters | |

piridge | Ridgeline Pi-function | |

regmix | Mixture Model ML for Clusterwise Linear Regression | |

ridgeline | Ridgeline computation | |

unimodal.ind | Is a fitted denisity unimodal or not? | |

stupidkcentroids | Stupid k-centroids random clustering | |

flexmixedruns | Fitting mixed Gaussian/multinomial mixtures with flexmix | |

mahalanodisc | Mahalanobis for AWC | |

fixreg | Linear Regression Fixed Point Clusters | |

mahalanofix | Mahalanobis distances from center of indexed points | |

stupidkfn | Stupid farthest neighbour random clustering | |

randomclustersim | Simulation of validity indexes based on random clusterings | |

mvdcoord | Mean/variance differences discriminant coordinates | |

ncoord | Neighborhood based discriminant coordinates | |

randconf | Generate a sample indicator vector | |

xtable | Partition crosstable with empty clusters | |

stupidknn | Stupid nearest neighbour random clustering | |

valstat.object | Cluster validation statistics - object | |

zmisclassification.matrix | Matrix of misclassification probabilities between mixture components | |

bhattacharyya.dist | Bhattacharyya distance between Gaussian distributions | |

bhattacharyya.matrix | Matrix of pairwise Bhattacharyya distances | |

awcoord | Asymmetric weighted discriminant coordinates | |

No Results! |

## Last month downloads

## Details

Date | 2020-01-14 |

License | GPL |

URL | https://www.unibo.it/sitoweb/christian.hennig/en/ |

NeedsCompilation | no |

Packaged | 2020-01-14 14:43:38 UTC; christian_hennig |

Repository | CRAN |

Date/Publication | 2020-01-17 09:40:16 UTC |

#### Include our badge in your README

```
[![Rdoc](http://www.rdocumentation.org/badges/version/fpc)](http://www.rdocumentation.org/packages/fpc)
```