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cba (version 0.2-23)
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
2,053
Version
0.2-23
License
GPL-2
Maintainer
Christian Buchta
Last Published
December 7th, 2022
Functions in cba (0.2-23)
Search functions
lmplot
Plotting Logical Matrices
image
Matrix Image Plots
order
Improving the Presentation of Matrix Objects
predict.ccfkms
Clustering with Conjugate Convex Functions.
predict.rock
Rock Clustering
order.optimal
Optimal Leaf Ordering of Binary Trees.
order.length
Conciseness of Presentation Measures
order.greedy
Hierarchical Greedy Ordering
summary.proximus
Summarizing Proximus Objects
sdists.center.align
Align Sequences to a Center
plot.sdists.graph
Plotting Edit Transcripts and Sequence Alignments
sdists.trace
Edit Transcripts and Sequence Alignments
sdists.center
Centroid Sequences
rockCluster
Rock Clustering
proximus
Proximus
lminter
Interpolating Logical Matrices
rlbmat
Block Uniform Logical Matrix Deviates
townships
Bertin's Characteristics and Townships Data Set
stress
Conciseness of Presentation Measures
sdists
Sequence Distance Computation
Mushroom
Mushroom Data Set
fitted.proximus
Extract from a Proximus Object
coding
Dummy Coding
clmplot
Plotting Logical Matrices
cluster.dist
Clustering a Sparse Symmetric Distance Matrix
cut.ordered
Converting Ordered Factors
Votes
Congressional Votes 1984 Data Set
gknn
Generalized k-Nearest Neighbor Classification
ccfkms
Clustering with Conjugate Convex Functions
circleplot.dist
Plotting Distance Graphs