mhahsler/rEMM

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Created about 3 years ago
Updated over 2 years ago

mhahsler/rEMM

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dbscan

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

recommenderlab

recommenderlab - Lab for Developing and Testing Recommender Algorithms - R package

arules

Mining Association Rules and Frequent Itemsets with R

Introduction_to_Data_Mining_R_Examples

R Code to accompany the book Introduction to Data Mining by Tan, Steinbach and Kumar (Code by Michael Hahsler)

rBLAST

Interface for the Basic Local Alignment Search Tool (BLAST) - R-Package

seriation

Infrastructure for Ordering using Seriation - R Package

TSP

Traveling Salesperson Problem - R package

arulesViz

Visualizing Association Rules and Frequent Itemsets with R

CS7320-AI

Examples for an AI course following the textbook Artificial Intelligence: A Modern Approach by Russell and Norvig.

Jupyter Notebook

stream

A framework for data stream modeling and associated data mining tasks such as clustering and classification. - R Package

pomdp

R package for Partially Observable Markov Decision Processes

CS2341

Code Examples for Data Structures with C++

streamMOA

Interface for data stream clustering algorithms implemented in the MOA (Massive Online Analysis) framework.

rMSA

Interface to Popular Multiple Sequence Alignment Tools - R-package

arulespy

Python interface to arules for association rule mining

arulesNBMiner

Mining NB-Frequent Itemsets and NB-Precise Rules - R Package

qap

Heuristics for the Quadratic Assignment Problem (QAP) - R package

ShinyApp_DB_HelloWorld

An example for a simple ShinyApp that connects to a remote database (SQLServer)

mdp

R package for Discrete-Time Markov Decision Processes

fit_dist

Simple R script to fit distributions to data

rRDP

Seamlessly interfaces RDP classifier.

streamConnect

Connecting Stream Mining Components Using Web Services

pomdpSolve

Provides Cassandra's pomdp-solve program.