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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
FIMGUI Java Frequent Item Set Mining GUI and Viewer
ARuleGUI Java Association Rule Mining GUI and Viewer
Apriori C Frequent Item Set Mining (all, closed, maximal, generators)
and Association Rule Induction
Eclat/LCM 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
JNIFIM C/Java Java API for Frequent Item Set Mining
FIMGUI C/Java Graphical User Interface for Frequent Item Set Mining
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
CoCo4R C/R CoCoNAD for R
JNICoCo C/Java Java API for CoCoNAD
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
MPR C/Python Best Response Regression
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
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
NAPa C Test for Neuron Assembly Participation
NAPaExp C/Python Neuron Assembly Participation: Experiments
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 C/Python Scripts for experiments finding neuronal assemblies
with the Accretion algorithm frequent item set mining
CoCoFIM C/Python Scripts for experiments finding neuronal assemblies
with the CoCoNAD algorithm
Spectra C/Python Pattern Spectrum Estimation for CoCoNAD
HyperNAD C/Python Hypergraph-based Handling of Selective Participation
Width C/Python Automatic Window Width Determination for CoCoNAD
Overlap C/Python CoCoNAD with a Graded Notion of Synchrony (overlap-based support)
CoCoJIM C/Python CoCoJIM - CoCoNAD with Item Cover Similarity

 


Computational Geometry (CG)

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

 


Miscellaneous

Name Language Description
SortNet Python Odd-even merge, pairwise and bitonic sorting networks
Top-k-Net Python Splitter selection networks for top-k selection

 


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

 


License

On October 23, 2014, I decided to abandon the (L)GPL licenses and adopt the MIT license for my programs, in order to avoid problems some people see with using software that is licensed under the LGPL in other software (even though the LGPL actually permits use in proprietary programs, while the GPL does not). I hope to remove these and related problems by switching to the MIT license.

The transition to the new license will be accomplished with new versions that get published. The following applies:


For any version published on or after October 23, 2014:

(MIT license, or more precisely Expat License; to be found in the file mit-license.txt in the directory <prgname>/doc in the source package of the program, see also opensource.org and wikipedia.org)

© 1996-2024 Christian Borgelt

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.


For any version published before October 23, 2014:

© 1996-2014 Christian Borgelt

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 (file copying) 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.