數據挖掘源代碼下載
Source Code
The original MLC++ sources are public domain. The new SGI MLC++ sources are research domain and may be used only for research purposes.
MLC++ 庫的源代碼
http://www.sgi.com/tech/mlc/source.html
有好多數據挖掘算法的源代碼 FP-tree Apriori Decision Tree
Software
Name Lang. Description
Apriori C Association Rule Induction/Frequent Item Set Mining
ARView Java Simple Association Rule Viewer
Eclat C Frequent Item Set Mining
FPgrowth C Frequent Item Set Mining
Relim C Frequent Item Set Mining
MoSS/MoFa Java Molecular Substructure Miner
MPR C/Java Multivariate Polynomial Regression
Dtree C Decision and Regression Tree Induction
DTView Java Decision and Regression Tree Visualization
Bayes C Naive and Full Bayes Classifier Induction
BCView C Bayes Classifier Visualization
NPoss C Naive Possibilistic Classifier Induction
INeS C Induction of Network Structures (Graphical Models)
MLP C Multilayer Perceptron
LVQ C Learning Vector Quantization
RBF C Radial Basis Function Network Training
Cluster C Fuzzy and Probabilistic Clustering
Table C Table Utilities
Matrix C Matrix Utilities
CHull C Convex Hull Construction
Pointgon Java Minimum Weight Triangulation of polygons with holes
MLP Demo C Multilayer Perceptron Demonstration
LVQ Demo C Learning Vector Quantization Demonstration
SOM Demo C Self-Organizing Map Demonstration
Hopf Demo C Hopfield Network Demonstration
Hamster C Programming Contest Environment
Bridgit C
http://fuzzy.cs.uni-magdeburg.de/~borgelt/software.html
DIC 算法 源代碼
DCI: A hybrid Algorithm for Frequent Set Counting
http://miles.cnuce.cnr.it/~palmeri/datam/DCI/download.php
序列模式挖掘和其他一些算法的 源代碼
http://himalaya-tools.sourceforge.net/Spam/
Apriori, Eclat, FP-growth, DIC, Rules
http://www.adrem.ua.ac.be/~goethals/software/index.html
The original MLC++ sources are public domain. The new SGI MLC++ sources are research domain and may be used only for research purposes.
MLC++ 庫的源代碼
http://www.sgi.com/tech/mlc/source.html
有好多數據挖掘算法的源代碼 FP-tree Apriori Decision Tree
Software
Name Lang. Description
Apriori C Association Rule Induction/Frequent Item Set Mining
ARView Java Simple Association Rule Viewer
Eclat C Frequent Item Set Mining
FPgrowth C Frequent Item Set Mining
Relim C Frequent Item Set Mining
MoSS/MoFa Java Molecular Substructure Miner
MPR C/Java Multivariate Polynomial Regression
Dtree C Decision and Regression Tree Induction
DTView Java Decision and Regression Tree Visualization
Bayes C Naive and Full Bayes Classifier Induction
BCView C Bayes Classifier Visualization
NPoss C Naive Possibilistic Classifier Induction
INeS C Induction of Network Structures (Graphical Models)
MLP C Multilayer Perceptron
LVQ C Learning Vector Quantization
RBF C Radial Basis Function Network Training
Cluster C Fuzzy and Probabilistic Clustering
Table C Table Utilities
Matrix C Matrix Utilities
CHull C Convex Hull Construction
Pointgon Java Minimum Weight Triangulation of polygons with holes
MLP Demo C Multilayer Perceptron Demonstration
LVQ Demo C Learning Vector Quantization Demonstration
SOM Demo C Self-Organizing Map Demonstration
Hopf Demo C Hopfield Network Demonstration
Hamster C Programming Contest Environment
Bridgit C
http://fuzzy.cs.uni-magdeburg.de/~borgelt/software.html
DIC 算法 源代碼
DCI: A hybrid Algorithm for Frequent Set Counting
http://miles.cnuce.cnr.it/~palmeri/datam/DCI/download.php
序列模式挖掘和其他一些算法的 源代碼
http://himalaya-tools.sourceforge.net/Spam/
Apriori, Eclat, FP-growth, DIC, Rules
http://www.adrem.ua.ac.be/~goethals/software/index.html
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