fpc

Asymmetric discriminant coordinates

Asymmetric neighborhood based discriminant coordinates

Asymmetric weighted discriminant coordinates

Bhattacharyya discriminant projection

Bhattacharyya distance between Gaussian distributions

Matrix of pairwise Bhattacharyya distances

Calinski-Harabasz index

Generation of the tuning constant for regression fixed point clusters

Recode nominal variables to binary variables

CDbw-index for cluster validation

Standardise cluster validation statistics by random clustering results

Classification of unclustered points

Sets of colours and symbols for cluster plotting

Jaccard similarity between logical vectors

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

Compute and format cluster validation statistics

Run many clustering methods on many numbers of clusters

Cluster validation statistics

Variablewise statistics for clusters

Run and validate many clusterings

Clusterwise cluster stability assessment by resampling

Generation of tuning constant for Mahalanobis fixed point clusters.

Connectivity components of an undirected graph

Misclassification probabilities in mixtures

Weighted Covariance Matrices (Maximum Likelihood)

Cluster validation statistics (version for use with clusterbenchstats

Cluster validation based on nearest neighbours

Weight function for AWC

DBSCAN density reachability and connectivity clustering

Simulates p-value for dip test

Diptest for discriminant coordinate projection

Discriminant coordinates/canonical variates

Recodes mixed variables dataset

Linear dimension reduction for classification

Factor for dissimilarity of mixed type data

Distance based validity criteria for large data sets

Similarity of within-cluster distributions to normal and uniform

Density along the ridgeline

Duda-Hart test for splitting

Extract parameters for certain components from mclust

Finding representatives for cluster border

Mahalanobis Fixed Point Clusters

Linear Regression Fixed Point Clusters

Fitting mixed Gaussian/multinomial mixtures with flexmix

fpc package overview

Extracting clusters from fixed point cluster objects

Number of regression fixed point cluster iterations

Jitter variables in a data matrix

Interface functions for clustering methods

k-means with estimating k and initialisations

flexmix method for mixed Gaussian/multinomial mixtures

Local shape matrix

Mahalanobis for AWC

Mahalanobis distances from center of indexed points

Mahalanobis fixed point clusters initial configuration

Clustering by merging Gaussian mixture components

New parameters from merging two Gaussian mixture components

Minimum size of regression fixed point cluster

Density of multivariate Gaussian mixture, mclust parameterisation

Prediction strength of merged Gaussian mixture

Mean/variance differences discriminant coordinates

Neighborhood based discriminant coordinates

Neg-entropy normality index for cluster validation

Selection of the number of clusters via bootstrap

Partitioning around medoids with estimation of number of clusters

Ridgeline Pi-function

Extrema of two-component Gaussian mixture

Simulation-standardised plot and print of cluster validation statistics

Discriminant projection plot.

Prediction strength for estimating number of clusters

"Face-shaped" clustered benchmark datasets

Random partition matrix

Generate a sample indicator vector

Simulation of validity indexes based on random clusterings

Mixture Model ML for Clusterwise Linear Regression

Ridgeline computation

Ridgeline plots, ratios and unimodality

Extracting intersections between clusters from fpc-object

Inversion of (possibly singular) symmetric matrices

Position in a similarity vector

Stupid average dissimilarity random clustering

Stupid k-centroids random clustering

Stupid farthest neighbour random clustering

Stupid nearest neighbour random clustering

Root of singularity-corrected eigenvalue decomposition

Tone perception data

Is a fitted denisity unimodal or not?

Cluster validation statistics - object

Ordered posterior plots

Weight function (for Mahalabobis distances)

Partition crosstable with empty clusters

Matrix of misclassification probabilities between mixture components