Christian Borgelt's Web Pages

Software

FrIDA - Free Intelligent Data Analysis Toolbox

A toolbox combining several intelligent data analysis programs under a uniform graphical user interface.


Frequent Pattern Mining (FPM)

If you are looking for a frequent item set mining and/or association rule induction program and you are unsure which one to choose, it is recommended to use either Eclat or FPgrowth.

Name Language Description
Apriori C Frequent Item Set Mining (all, closed, maximal, generators) and Association Rule Induction
ARuleGUI Java Association Rules GUI and Viewer
Eclat C/Python Frequent Item Set Mining (all, closed, maximal, generators) and Association Rule Induction
FPgrowth C Frequent Item Set Mining (all, closed, maximal, generators) and Association Rule Induction
RElim C Frequent Item Set Mining (all, closed, maximal, generators, fault-tolerant)
SaM C Frequent Item Set Mining (all, closed, maximal, generators, fault-tolerant)
SODIM C Frequent Item Set Mining (fault-tolerant)
IsTa C Frequent Item Set Mining (closed and maximal)
Carpenter C Frequent Item Set Mining (closed and maximal)
PyFIM C/Python Frequent Item Set Mining for Python
JIM C Jaccard Item Set Mining / Cover Similarity
CoCoNAD C Continuous-time Closed Neuron Assembly Detection
Frequent Pattern Mining in Point Processes
PyCoCo C/Python CoCoNAD for Python
CoCoGUI C/Java Graphical User Interface for CoCoNAD + PSF + PSR
Seqwog C Frequent Sequence Mining
Sequoia C Frequent Sequence Mining
MoSS Java Molecular Substructure Miner


Intelligent Data Analysis (IDA) / Data Mining (DM)

(other than frequent pattern mining)

Name Language Description
FrIDA C Free Intelligent Data Analysis Toolbox
MPR C Multivariate Polynomial Regression
RegGUI Java Multivariate Polynomial Regression GUI and Viewer
Dtree C Decision and Regression Tree Induction
DTreeGUI Java Decision and Regression Tree GUI and Viewer
Bayes C Naive and Full Bayes Classifier Induction
BayesGUI Java Bayes Classifier GUI
BCView C Bayes Classifier Visualization
NPoss C Naive Possibilistic Classifier Induction
INeS C Induction of Network Structures (Graphical Models)
MLP C Multilayer Perceptron
MLPGUI Java Multilayer Perceptron GUI
LVQ C Learning Vector Quantization
RBF C Radial Basis Function Network Training
RBFGUI Java Radial Basis Function Network Training GUI
Cluster C Fuzzy and Probabilistic Clustering
ClusterGUI Java Fuzzy and Probabilistic Clustering GUI
PtLess C Prototype-Less Fuzzy Clustering
Table C Table Utilities
Viewers Java Simple Viewers for Tabular Data
Matrix C Matrix Utilities
Hubness C Analysis of the Hubness Phenomenon


Neurobiology

Name Language Description
GenPST C Generate Parallel Spike Trains
NAss C Finding Neurons Participating in Assemblies
Accretion C Finding Neuronal Assemblies
Surrogates Python Surrogate Generation for the Analysis of Parallel Spike Trains
CoCoNAD C Continuous-time Closed Neuron Assembly Detection / Frequent Pattern Mining in Point Processes
PyCoCo C CoCoNAD for Python
CoCoGUI C/Java Graphical User Interface for CoCoNAD + PSF + PSR
AccFIM Python Scripts for experiments finding neuronal assemblies
with the Accretion algorithm frequent item set mining
CoCoFIM Python Scripts for experiments finding neuronal assemblies
with the CoCoNAD algorithm


Computational Geometry (CG)

Name Language Description
CHull C Convex Hull Construction
Pointgon Java Minimum Weight Triangulation of polygons with holes


Demonstration/Teaching

Name Language Description
MLP Demo C Multilayer Perceptron Demonstration
LVQ Demo C Learning Vector Quantization Demonstration
SOM Demo C Self-Organizing Map Demonstration
Hopfield Demo C Hopfield Network Demonstration
PSOpt Demo Java Particle Swarm Optimization Demonstration
ACOpt Demo Java Ant Colony Optimization Demonstration


Games

Name Language Description
Hamster C Programming Contest Environment
Bridgit C Simple Two Player Game
Sudoku C Simple Sudoku Puzzle Solver


Data Generators


Copying

All programs are free software; you can redistribute them and/or modify them under the terms of the GNU General Public License or the GNU Lesser (Library) General Public License as published by the Free Software Foundation. Which license applies depends on the program. Check the copyright notice in the directory <prgname>/doc in the source package of the program to find out.

All programs are distributed in the hope that they will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License or the GNU Lesser (Library) General Public License for more details.