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I like Statsoft's R so much I bought it and now find it hard to live without it. It is so powerful yet so easy to use and try to learn.
Statsoft's R is a data mining software developed by the US company Statsoft. The application can process textual data and convert it into arrays of statistics, analyze the processed data and report on a number of issues, giving a summary of results, and display graphics representing the patterns found, by using data mining techniques.
R is an open source statistical software environment. It is based on the S language and provides a wide variety of statistical analysis methods. It is designed as a software development platform, supporting parallel computing and Rserve (remote-processing via a client/server model). The data mining module (rms) is a part of that platform and the R and S languages are the main programming language. R is available for Unix, Linux, Microsoft Windows and Mac OS X.
The central research topics within the R data mining community include:
statistical data mining: This branch of data mining is concerned with
  the development of methods for learning from data, with special
  regard to finding patterns in large datasets. The most well-known
  package is R.
clustering: This branch of data mining is concerned with the
  development of methods for learning to classify data (i.e. to partition
  data into groups). Among the most well-known packages are: IRANN,
  CURE, and CHIDIST.
Other notable packages:
rpart: This package implements Random Forest Classifiers (RFC).
  Classifier is a machine learning tool and RFC is based on decision
  trees and multilayer perceptrons.
cluster: This package implements solutions for finding k-means and
  spectral clustering methods.
alpca: This package implements the Allec Global Alignment and
  Clustering Method and the Local Alignment and Clustering Method.
dredge: This package implements a special type of a hill climbing
  optimization algorithm.
amalgamation: This package implements several algorithms for
  stratified clustering.
t4.descent: This package implements a descent-based algorithm for
  cluster analysis.
class: This package implements some algorithms for identifying and
  separating categorical features.
Hierarchical: This package implements algorithms for
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