Packages by Michael Hahsler

TSP — 1.1-7

Traveling Salesperson Problem (TSP)

arules — 1.6-4

Mining Association Rules and Frequent Itemsets

arulesNBMiner — 0.1-5

Mining NB-Frequent Itemsets and NB-Precise Rules

arulesViz — 1.3-3

Visualizing Association Rules and Frequent Itemsets

dbscan — 1.1-4

Density Based Clustering of Applications with Noise (DBSCAN) and Related Algorithms

qap — 0.1-1

Heuristics for the Quadratic Assignment Problem (QAP)

rEMM — 1.0-11

Extensible Markov Model for Modelling Temporal Relationships Between Clusters

recommenderlab — 0.2-5

Lab for Developing and Testing Recommender Algorithms

seriation — 1.2-8

Infrastructure for Ordering Objects Using Seriation

stream — 1.3-1

Infrastructure for Data Stream Mining

streamMOA — 1.2-2

Interface for MOA Stream Clustering Algorithms