RSS Feed - New Software
Intended for .NET developers wanting to implement algorithms directly in a common .NET language (recommended: C#). Support for n-dim generic arrays, LAPACK, cells, logicals, 2D&3D plotting classes. [...]
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A MATLAB spectral clustering package to deal with large data sets. Our tool can handle large data sets (200,000 RCV1 data) on a 4GB memory general machine. Spectral clustering algorithm has been [...]
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Elefant is an open source software platform for the Machine Learning community licensed under the Mozilla Public License (MPL) and developed using Python, C, and C++. We aim to make it the platform [...]
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Classification and Regression Training: Misc functions for training and plotting classification and regression models
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LIBLINEAR is a linear classifier for data with millions of instances and features. It supports L2-regularized logistic regression (LR), L2-loss linear SVM, L1-loss linear SVM, and multi-class SVM
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Classification and Regression Training LSF Style: Augment some caret functions for parallel processing
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Classification and Regression Training in Parallel Using NetworkSpaces: Augment some caret functions using parallel processing
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A K-means clustering implementation for Python, Matlab and C. This algorithm yields the very same solution as standard Kmeans, even after each iteration. However it uses some triangle inequalities [...]
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Ishwaran and Kogalur's Random Survival Forest: Ensemble survival analysis based on a random forest of trees using random inputs.
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Python module to ease pattern classification analyses of large datasets. It provides high-level abstraction of typical processing steps (e.g. data preparation, classification, feature selection, [...]
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