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Weka v.3.7.9
Weka packahe provides a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, ...
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Weka x64 v.3.7.9
Weka packahe provides a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, ...
Latest Version Searcher v.2.4
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WEKA Classification Algorithms v.1.8
A collection of plug-in algorithms for the WEKA machine learning workbench including artificial neural network (ANN) algorithms, and artificial immune system (AIS) algorithms.
Weka outlier v.b
weka outlier is an implementation of outlier detection algorithms for WEKA.CODB (Class Outliers: Distance-Based) Algorithm is the first algorithm developed using WEKA framework.
Weka.Net v.1.0
Weka.Net is a port to .Net of the Weka library.It use all the power of .net including some redisene of thelibrary to make more Object-Oriented.
Weka-Parallel v.1.0
Weka-Parallel is a modification to Weka, created with the intention of being able to harness the power of Weka and the speed of parallel processing to be able to run a number of data mining and machine learning algorithms quickly.