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cba (version 0.2-5)

Clustering for Business Analytics

Description

Implements clustering techniques such as Proximus and Rock, utility functions for efficient computation of cross distances and data manipulation.

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Version

Install

install.packages('cba')

Monthly Downloads

2,409

Version

0.2-5

License

GPL-2

Maintainer

Christian Buchta

Last Published

August 16th, 2024

Functions in cba (0.2-5)

ccfkms

Clustering with Conjugate Convex Functions
order.greedy

Hierarchical Greedy Ordering
predict.ccfkms

Clustering with Conjugate Convex Functions.
gknn

Generalized k-Nearest Neighbor Classification
rlbmat

Block Uniform Logical Matrix Deviates
cluster.dist

Clustering a Sparse Symmetric Distance Matrix
summary.proximus

Summarizing Proximus Objects
lmplot

Plotting Logical Matrices
plotting

Matrix Image Plots
Mushroom

Mushroom Data Set
rowSums.dist

Row Sums of Sparse Symmetric Matrices
order.optimal

Optimal Leaf Ordering of Binary Trees.
order.length

Conciseness of Presentation Measures
fitted.proximus

Extract from a Proximus Object
lminter

Interpolating Logical Matrices
sdists.trace

Edit Transcripts and Sequence Alignments
order

Improving the Presentation of Matrix Objects
townships

Bertin's Characteristics and Townships Data Set
cut.ordered

Converting Ordered Factors
dists

Matrix Distance Computation
cluproxplot

Cluster Proximity Plot
clmplot

Plotting Logical Matrices
Votes

Congressional Votes 1984 Data Set
seriation

Seriation heuristics for symmetric matrices
coding

Dummy Coding
plot.sdists.graph

Plotting Edit Transcripts and Sequence Alignments
subset.dist

Subsetting Sparse Symmetric Matrices
predict.rock

Rock Clustering
rockCluster

Rock Clustering
sdists

Sequence Distance Computation
proximus

Proximus
circleplot.dist

Plotting Distance Graphs
stress

Conciseness of Presentation Measures