rtemis (version 0.79)

u.HOPACH: Hieararchical Ordered Partitioning and Collapsing Hybrid

Description

Perform HOPACH clustering using hopach::hopach

Usage

u.HOPACH(x, dmat = NULL, metric = c("cosangle", "abscosangle",
  "euclid", "abseuclid", "cor", "abscor"), K = 15, kmax = 9,
  khigh = 9, verbose = TRUE, ...)

Arguments

x

Input matrix / data.frame

dmat

Matrix (numeric, no missing values) or hdist object of pairwise distances. If NULL

metric

String: Dissimilarity metric to be used. Options: 'euclidean', 'manhattan'

K

Integer, (0:15]: Maximum number of levels

kmax

Integer, [1:9]: Maximum number of children at each node in the tree

khigh

Integer, [1:9]: Maximum number of children at each nod ein the tree when computing the the Mean/Median Split Silhouette. Usually same as kmax

verbose

Logical: If TRUE, print messages to screen

...

Additional parameters to be passed to cluster::hopach

See Also

Other Clustering: u.CMEANS, u.EMC, u.H2OKMEANS, u.HARDCL, u.KMEANS, u.NGAS, u.PAMK, u.PAM, u.SPEC