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cba (version 0.2-22)
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
1,926
Version
0.2-22
License
GPL-2
Maintainer
Christian Buchta
Last Published
November 7th, 2022
Functions in cba (0.2-22)
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cut.ordered
Converting Ordered Factors
clmplot
Plotting Logical Matrices
Mushroom
Mushroom Data Set
cluster.dist
Clustering a Sparse Symmetric Distance Matrix
fitted.proximus
Extract from a Proximus Object
order.greedy
Hierarchical Greedy Ordering
gknn
Generalized k-Nearest Neighbor Classification
Votes
Congressional Votes 1984 Data Set
ccfkms
Clustering with Conjugate Convex Functions
order.length
Conciseness of Presentation Measures
proximus
Proximus
lmplot
Plotting Logical Matrices
circleplot.dist
Plotting Distance Graphs
image
Matrix Image Plots
order
Improving the Presentation of Matrix Objects
lminter
Interpolating Logical Matrices
sdists.trace
Edit Transcripts and Sequence Alignments
predict.ccfkms
Clustering with Conjugate Convex Functions.
summary.proximus
Summarizing Proximus Objects
townships
Bertin's Characteristics and Townships Data Set
order.optimal
Optimal Leaf Ordering of Binary Trees.
stress
Conciseness of Presentation Measures
predict.rock
Rock Clustering
plot.sdists.graph
Plotting Edit Transcripts and Sequence Alignments
rlbmat
Block Uniform Logical Matrix Deviates
rockCluster
Rock Clustering
sdists.center
Centroid Sequences
sdists
Sequence Distance Computation
sdists.center.align
Align Sequences to a Center
coding
Dummy Coding