adproclus2.0.0 package

Additive Profile Clustering Algorithms

adpc

Constructor for a (low dimensional) ADPROCLUS solution object

adproclus_low_dim

Low dimensional ADPROCLUS

select_by_CHull

Automatic Model Selection for ADPROCLUS with CHull Method

adproclus-package

adproclus: Additive Profile Clustering Algorithms

adproclus

Additive profile clustering

cluster_means

Cluster Means based on Original Variables

get_random

Generate initial random start

get_rational

Generate start allocation based on a priori profiles

get_semirandom

Generate initial semi-random start

mselect_adproclus_low_dim

Model selection helper for low dimensional ADPROCLUS

mselect_adproclus

Model selection helper for ADPROCLUS

plot_cluster_network

Network plot of a (low dimensional) ADPROCLUS solution

plot_profiles

Plot profile matrix of ADPROCLUS solution

plot_scree_adpc_preselected

Scree plot of a pre-selection of low dimensional ADPROCLUS models

plot_scree_adpc

Scree plot of (low dimensional) ADPROCLUS models

plot_vars_by_comp

Plot variable to component matrix of ADPROCLUS solution

plot.adpc

Plotting a (low dimensional) ADPROCLUS solution

print.adpc

Print basic information on ADPROCLUS solution

print.summary.adpc

Print (low dimensional) ADPROCLUS summary

summary.adpc

Summary of ADPROCLUS solution

Download source packageRead PDF manual

Obtain overlapping clustering models for object-by-variable data matrices using the Additive Profile Clustering (ADPROCLUS) method. Also contains the low dimensional ADPROCLUS method for simultaneous dimension reduction and overlapping clustering. For reference see Depril, Van Mechelen, Mirkin (2008) <doi:10.1016/j.csda.2008.04.014> and Depril, Van Mechelen, Wilderjans (2012) <doi:10.1007/s00357-012-9112-5>.

  • Maintainer: Henry Heppe
  • License: GPL (>= 3)
  • Last published: 2024-08-17

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