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cba (version 0.2-6)
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
2,409
Version
0.2-6
License
GPL-2
Maintainer
Christian Buchta
Last Published
August 16th, 2024
Functions in cba (0.2-6)
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order.length
Conciseness of Presentation Measures
lmplot
Plotting Logical Matrices
sdists.center.align
Align Sequences to a Center
cut.ordered
Converting Ordered Factors
cluster.dist
Clustering a Sparse Symmetric Distance Matrix
order
Improving the Presentation of Matrix Objects
plotting
Matrix Image Plots
stress
Conciseness of Presentation Measures
circleplot.dist
Plotting Distance Graphs
lminter
Interpolating Logical Matrices
sdists.trace
Edit Transcripts and Sequence Alignments
predict.ccfkms
Clustering with Conjugate Convex Functions.
townships
Bertin's Characteristics and Townships Data Set
fitted.proximus
Extract from a Proximus Object
order.greedy
Hierarchical Greedy Ordering
Votes
Congressional Votes 1984 Data Set
gknn
Generalized k-Nearest Neighbor Classification
clmplot
Plotting Logical Matrices
predict.rock
Rock Clustering
coding
Dummy Coding
plot.sdists.graph
Plotting Edit Transcripts and Sequence Alignments
order.optimal
Optimal Leaf Ordering of Binary Trees.
sdists
Sequence Distance Computation
proximus
Proximus
ccfkms
Clustering with Conjugate Convex Functions
sdists.center
Centroid Sequences
rlbmat
Block Uniform Logical Matrix Deviates
summary.proximus
Summarizing Proximus Objects
Mushroom
Mushroom Data Set
rockCluster
Rock Clustering