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About: Classification and regression trees Changes:Fetched by rcranrobot on 20120201 00:00:11.999664

About: Multiclass vector classification based on cost functiondriven learning vector quantization , minimizing misclassification. Changes:Initial Announcement on mloss.org.

About: Bayesian Reasoning and Machine Learning toolbox Changes:Fixed some small bugs and updated some demos.

About: Regression Trees with Random Effects for Longitudinal (Panel) Data Changes:Fetched by rcranrobot on 20130401 00:00:08.040424

About: Fast RuntimeFlexible Multidimensional Arrays and Views for C++ Changes:Initial Announcement on mloss.org.

About: Correlative Matrix Mapping (CMM) provides a supervised linear data mapping into a Euclidean subspace of given dimension. Applications include denoising, visualization, labelspecific data preprocessing, and assessment of data attribute pairs relevant for the supervised mapping. Solving autoassociation problems yields linear multidimensional scaling, similar to PCA, but usually with more faithful lowdimensional mappings. Changes:Tue Jul 5 14:40:03 CEST 2011  Bugfixes and cleanups

About: The Ktree is a scalable approach to clustering inspired by the B+tree and kmeans algorithms. Changes:Release of Ktree implementation in Python. This is targeted at a research and rapid prototyping audience.

About: A fast and scalable graphbased clustering algorithm based on the eigenvectors of the nonlinear 1Laplacian. Changes:

About: Rule and InstanceBased Regression Modeling Changes:Fetched by rcranrobot on 20110828 08:16:03.375532

About: Software for graph similarity search for massive graph databases Changes:Initial Announcement on mloss.org.
