About: The apcluster package implements Frey's and Dueck's Affinity Propagation clustering in R. The package further provides leveraged affinity propagation, exemplar-based agglomerative clustering, and various tools for visual analysis of clustering results.

• plotting of clustering results extended to data sets with more than two dimensions (resulting in the clustering result being superimposed in a scatterplot matrix); the variant that plot() can be used to draw a heatmap has been removed. From now on, heatmap() must always be used.
• improved NA handling
• correction of input check in apcluster() and apclusterL() (previously, both functions issued a warning whenever argument p had length > 1)
• corresponding updates and further improvements of help pages and vignette

About: Cox models by likelihood based boosting for a single survival endpoint or competing risks

Fetched by r-cran-robot on 2013-06-01 00:00:06.173143

About: A wrapper algorithm for all-relevant feature selection

Fetched by r-cran-robot on 2013-06-01 00:00:05.141764

About: C5.0 Decision Trees and Rule-Based Models

Fetched by r-cran-robot on 2013-06-01 00:00:05.347436

About: Mining Association Rules and Frequent Itemsets

Fetched by r-cran-robot on 2013-06-01 00:00:04.536952

About: Classification and Regression Training

Fetched by r-cran-robot on 2013-06-01 00:00:05.499923

About: Generalized Ridge Regression (with special advantage for p >> n cases)

Initial Announcement on mloss.org by r-cran-robot

About: Regularization for semiparametric additive hazards regression

Fetched by r-cran-robot on 2013-06-01 00:00:04.428588

About: The CAM R-Java software provides a noval way to solve blind source separation problem.

1. Three classic BSS algorithms - NMF, fastICA and Factor Analysis - are combined into the software. Users can readily call the three functions from Java GUI
2. A simple plug-in mechanism is added. Users can add their own BSS algorithm into the software by following the Software Plugin Adding Guide and User Manual

About: Big Random Forests

Fetched by r-cran-robot on 2013-06-01 00:00:04.895100

About: R genetic programming framework

Fetched by r-cran-robot on 2013-04-01 00:00:08.163887

About: Pam

Fetched by r-cran-robot on 2013-04-01 00:00:06.709586

About: Generalized linear and additive models by likelihood based boosting

Fetched by r-cran-robot on 2013-04-01 00:00:04.893311

About: Classification and visualization

Fetched by r-cran-robot on 2013-04-01 00:00:05.722314

About: This toolbox implements models for Bayesian mixed-effects inference on classification performance in hierarchical classification analyses.

In addition to the existing MATLAB implementation, the toolbox now also contains an R package of the variational Bayesian algorithm for mixed-effects inference.

About: A Toolkit for Recursive Partytioning

Fetched by r-cran-robot on 2013-04-01 00:00:06.838561

About: The Rchemcpp package implements the marginalized graph kernel and extensions, Tanimoto kernels, graph kernels, pharmacophore and 3D kernels suggested for measuring the similarity of molecules.

Improved documentation and data handling.

About: Feed-forward Neural Networks and Multinomial Log-Linear Models

Fetched by r-cran-robot on 2013-04-01 00:00:06.544403

About: Graphical user interface for data mining in R

Fetched by r-cran-robot on 2013-04-01 00:00:07.700426

About: Regularization paths for SCAD- and MCP-penalized regression models

Fetched by r-cran-robot on 2013-04-01 00:00:06.449164