Hierarchical Modal Clustering
Choosing the cluster which is closest to a specified point
Plot clusters with different colors for two dimensional data overlayed...
Find the mid point of memberships of each cluster
Plot clusters with different colors.
Perform Modal Clustering in serial mode only
Calculate the smoothing paramters for implementation of Modal Clusteri...
Calculate Density of Multivariate Normal for diagonal covariance
Main function for performing Modal Clusters either parallel or serial ...
Plots of heierarchical tree for a 'hmac' object
Plot soft clusters from Modal Clustering output
Summary of HMAC output
Performs Modal Clustering (MAC) including Hierarchical Modal Clustering (HMAC) along with their parallel implementation (PHMAC) over several processors. These model-based non-parametric clustering techniques can extract clusters in very high dimensions with arbitrary density shapes. By default clustering is performed over several resolutions and the results are summarised as a hierarchical tree. Associated plot functions are also provided. There is a package vignette that provides many examples. This version adheres to CRAN policy of not spanning more than two child processes by default.