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Michael Hahsler
https://www.github.com/null
Author or maintainer of the following packages:
arules
Provides the infrastructure for representing, manipulating and analyzing transaction data and patter...
arulesCBA
Provides a function to build an association rule-based classifier for data frames, and to classify i...
arulesNBMiner
NBMiner is an implementation of the model-based mining algorithm for mining NB-frequent itemsets pre...
arulesSequences
Add-on for arules to handle and mine frequent sequences. Provides interfaces to the C++ implementati...
arulesViz
Extends package arules with various visualization techniques for association rules and itemsets. The...
cba
Implements clustering techniques such as Proximus and Rock, utility functions for efficient computat...
dbscan
A fast reimplementation of several density-based algorithms of the DBSCAN family for spatial data. I...
pmml
The Predictive Model Markup Language (PMML) is an XML-based language which provides a way for applic...
qap
Implements heuristics for the Quadratic Assignment Problem (QAP). Currently only a simulated anneali...
recommenderlab
Provides a research infrastructure to test and develop recommender algorithms.
recommenderlabBX
Provides the Book-Crossing Dataset for the package recommenderlab.
recommenderlabJester
Provides the Jester Dataset for package recommenderlab.
rEMM
Implements TRACDS (Temporal Relationships between Clusters for Data Streams), a generalization of Ex...
seriation
Infrastructure for seriation with an implementation of several seriation/sequencing techniques to re...
stream
A framework for data stream modeling and associated data mining tasks such as clustering and classif...
streamMOA
Interface for data stream clustering algorithms implemented in the MOA (Massive Online Analysis) fra...
TSP
Basic infrastructure and some algorithms for the traveling salesperson problem (also traveling sales...
Impact Percentile
99
Number of Packages
17
Package Downloads
523,874
Citations
9
Top Collaborators
Christian Buchta
Kurt Hornik
Ian Johnson
Margaret H. Dunham
Franz Rendl