Data Mining in Python 
Author Message
 Data Mining in Python

I have completed a small collection of libraries useful for machine learning and
data mining. It requires win32, python 2.1 and the Orange machine learning
framework library, both freely downloadable.

    Clustering / Unsupervised Learning:
        - k-means (medoid) clustering
        - fuzzy clustering
        - hierarchical agglomerative clustering

    Supervised Learning:
        - multiclass logistic regression
        - multiclass SVM for classification, regression, and density estimation
        - wrapped multiclass SVM classifier which outputs class probabilities
        - general wrappers for multiclass classification with binary classifiers
        - several ensemble construction methods
        - support for "merging" the final classification from ensembles of
          classifiers that output probability distributions

Note that Orange itself provides tremendously many features: discretization,
k-NN, classification and regression trees, naive Bayes classifiers, evaluation
techniques (stratified cross validation, random sampling, aROC, etc),
constructive induction, etc. Check out http://www.*-*-*.com/

It can all be found at http://www.*-*-*.com/ ~aleks/orng/  I'm sorry for not
supporting Python 2.2, and platforms other than win32 at the moment.
But all that will come provided sufficient user stimulation.

Best regards,

Faculty of Computer and Information Science
University of Ljubljana
+386 41 379 137

Fri, 25 Jun 2004 15:45:31 GMT  
 [ 1 post ] 

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