monoClust1.2.1 package

Perform Monothetic Clustering with Extensions to Circular Data

as_MonoClust

Coerce Similar Object to MonoClust

centroid

Find Centroid of the Cluster

checkem

First Gate Function

circ_arith

Add/Subtract Circular Values in Degrees/Radian

circ_dist

Distance Matrix of Circular Variables

cluster_stats

Cluster Statistics Calculation

create_labels

Create Labels for Split Variables

cv.test

Cross-Validation Test on MonoClust

error_bar

Make Error Bars

find_closest

Find the Closest Cut

find_split

Find the Best Split

ggcv

GGPlot the Mean Square Error with Error Bar for +/- 1 Standard Error

ggpcp

Parallel Coordinates Plot with Circular Variables

inertia_calc

Cluster Inertia Calculation

is_MonoClust

Test If The Object is A MonoClust

make_jump_table

Create Jump Table

medoid

Find Medoid of the Cluster

monoClust-package

monoClust: Perform Monothetic Clustering with Extensions to Circular D...

MonoClust.object

Monothetic Clustering Tree Object

MonoClust

Monothetic Clustering

new_node

Create A New Node for Split Data Frame

perm.test

Permutation Test on Monothetic Tree

plot.cv.MonoClust

Plot the Mean Square Error with Error Bar for +/- 1 Standard Error

plot.MonoClust

Plot MonoClust Splitting Rule Tree

plot_prep_branch

Calculate Branch Coordinates

plot_prep_node

Calculate Nodes Coordinates

plot_tree

Plot the monoClust Tree.

predict.MonoClust

Predictions from a MonoClust Object

print.cv.MonoClust

Print MonoClust Cross-Validation Result

print.MonoClust

Print Monothetic Clustering Results

splitter

Split Function

test_split

Hypothesis Test at Split

text_tree

Implementation of Print Labels on MonoClust Tree

to_deg_rad

Transform Between Degree and Radian

tree_depth

Find Tree Depth Based on Node Indexes

tree_walk

Traverse a Tree to Find the Leaves (Terminal Nodes)

Implementation of the Monothetic Clustering algorithm (Chavent, 1998 <doi:10.1016/S0167-8655(98)00087-7>) on continuous data sets. A lot of extensions are included in the package, including applying Monothetic clustering on data sets with circular variables, visualizations with the results, and permutation and cross-validation based tests to support the decision on the number of clusters.

  • Maintainer: Tan Tran
  • License: GPL (>= 2)
  • Last published: 2021-02-15