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cba (version 0.1-6)
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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Install
install.packages('cba')
Monthly Downloads
4,191
Version
0.1-6
License
GNU GENERAL PUBLIC LICENSE Version 2
Maintainer
Christian Buchta
Last Published
August 16th, 2024
Functions in cba (0.1-6)
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Mushroom
Mushroom Data Set
predict.rock
Rock Clustering
lmplot
Plotting Logical Matrices
rockCluster
Rock Clustering
predict.ccfkms
Clustering with Conjugate Convex Functions.
gknn
Generalized k-Nearest Neighbor Classification
Votes
Congressional Votes 1984 Data Set
plotting
Matrix Image Plots
summary.proximus
Summarizing Proximus Objects
seriation
Seriation heuristics for symmetric matrices
dists
Matrix Distance Computation
subset.dist
Subsetting Compact Symmetric Matrices
lminter
Interpolating Logical Matrices
order.length
Conciseness of Presentation Measures
clmplot
Plotting Logical Matrices
order.greedy
Hierarchical Greedy Ordering
ccfkms
Clustering with Conjugate Convex Functions
cluproxplot
Cluster Proximity Plot
rlbmat
Block Uniform Logical Matrix Deviates
proximus
Proximus
fitted.proximus
Extract from a Proximus Object
cut.ordered
Converting Ordered Factors
coding
Dummy Coding
order.optimal
Optimal Leaf Ordering of Binary Trees.