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cba (version 0.2-21)
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
2,046
Version
0.2-21
License
GPL-2
Maintainer
Christian Buchta
Last Published
April 18th, 2019
Functions in cba (0.2-21)
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predict.ccfkms
Clustering with Conjugate Convex Functions.
order.optimal
Optimal Leaf Ordering of Binary Trees.
summary.proximus
Summarizing Proximus Objects
townships
Bertin's Characteristics and Townships Data Set
predict.rock
Rock Clustering
rockCluster
Rock Clustering
lmplot
Plotting Logical Matrices
gknn
Generalized k-Nearest Neighbor Classification
plot.sdists.graph
Plotting Edit Transcripts and Sequence Alignments
order
Improving the Presentation of Matrix Objects
sdists.center
Centroid Sequences
sdists.center.align
Align Sequences to a Center
order.greedy
Hierarchical Greedy Ordering
sdists
Sequence Distance Computation
order.length
Conciseness of Presentation Measures
image
Matrix Image Plots
lminter
Interpolating Logical Matrices
proximus
Proximus
sdists.trace
Edit Transcripts and Sequence Alignments
rlbmat
Block Uniform Logical Matrix Deviates
stress
Conciseness of Presentation Measures
Mushroom
Mushroom Data Set
ccfkms
Clustering with Conjugate Convex Functions
coding
Dummy Coding
circleplot.dist
Plotting Distance Graphs
clmplot
Plotting Logical Matrices
cluster.dist
Clustering a Sparse Symmetric Distance Matrix
fitted.proximus
Extract from a Proximus Object
cut.ordered
Converting Ordered Factors
Votes
Congressional Votes 1984 Data Set