Collection of clustering tools for lazy boys and girls


[Up] [Top]

Documentation for package ‘lazy.cluster’ version 0.1.2

Help Pages

lazy.cluster-package lazy.cluster: Divisive Hierarchical Clustering tools for lazy boys and girls
bplot_tree Plot of Two Dimensional Data with Classification
circle1 Simulated data frame 1
circle2 Simulated data frame 2
convert2hclust Convert fusion history matrix to a class hclust object
cuttree Cut a (Short) Tree into Groups of Data
demodata Small demo data
dhclust Divisive Hierarchical Cluster Analysis
dmvnorm Density Function (pdf) of Multivariate Normal Distribution
dmxnorm Density Function (pdf) of Mixture of Multivariate Normal Distribution
fake_tree Modify a class hclust object to take care of ndiv=3 divide
find_parent Given A class hclust merge matrix and parent names, find the parent of each observation and cluster.
getRSS Calculation of various SSs given classification
get_tree_fit Calculate RSS etc for each # of clusters
init_clust Initial cluster solution by stat::hclust
lazy.cluster lazy.cluster: Divisive Hierarchical Clustering tools for lazy boys and girls
ls_clust k-means cluster analysis
ml_clust Normal Mixture Clustering
mxnormal Fitting Finite Mixture of Normal Distributions
order_tree Order the Locations of the Bottom Level Clusters in a Tree
plot_tree Plot Tree with Different Hieght and Labels
pplot_tree Profile Plot of the Observations in Each Cluster
rename_tree_parents Rename parent clusters by consecutive numbers
unidimdata Simulated data frame 1
unidimdata0 Simulated data frame 1 not sorted