Collection of clustering tools for lazy boys and girls

Documentation for package ‘lazy.cluster’ version 0.1.4

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