2007年6月22日

What's new in Weka 3.5.6

What's new in the developer version?
- nearest neighbor search got re-organized and
extended:
weka.core.neighboursearch.BallTree
weka.core.neighboursearch.CoverTree
weka.core.neighboursearch.KDTree
weka.core.neighboursearch.LinearNNSearch

- tokenizers for the StringToWordVector are now
GOE objects and the NGram tokenizer got added:
weka.core.tokenizers.AlphabeticTokenizer
weka.core.tokenizers.NGramTokenizer
weka.core.tokenizers.WordTokenizer

- new classifiers:
weka.classifiers.bayes.NaiveBayesMultinomialUpdateable
weka.classifiers.misc.SerializedClassifier

- a new kernel:
weka.classifiers.functions.supportVector.Puk

- new associators:
weka.associations.FilteredAssociator
weka.associations.GeneralizedSequentialPatterns

- new filters:
weka.filters.unsupervised.attribute.KernelFilter
weka.filters.unsupervised.attribute.NominalToString

link: Weka 3: Data Mining Software in Java


It is more suitable for our research!

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