lazy.cluster {lazy.cluster} | R Documentation |

The following are the classes of the functions.

dhclust: Divisive Hierarichical Cluster Analysis

cuttree: Cut a (Short) Tree into Groups of Data

plot_tree: Draw a tree using a class hclust object

pplot_tree: Profile display of observations in each cluster

bplot_tree: Plot of data with cluster id

order_a_tree: Order the Locations of the Bottom Level Clusters in a Tree

find_parent: Given a class hclust merge matrix and parent names, find the parent of each observation and cluster.

get_tree_fit: Given a class hclust object, calculate SS and llh for each cluster.

ml_clust: ML cluster analysis under normal model

ls_clust: LS cluster analysis under normal model (equal variances)

mxnormal: Finite mixture of normal distributions

fake_tree: Modify a class hclust object to take care of nclusters=3 divide

rename_tree_parents: Rename parent clusters by consecutive numbers

convert2hclust: Convert fusion history matrix to a class hclust objec

init_clust: Initial cluster solution by stat::hclust

getRSS: Calculation of various SSs given classification

dmvnorm: pdf of multivariate normal

dmxnorm: pdf of finite mixture of multivariate normal

unidimdata: A very small unidimensional data frame

circle1: A data frame with five crisp clusters

circle2: A data frame with four vague clusters

demodata: Y1-Y8, X1-X4

[Package *lazy.cluster* version 0.1.2 Index]