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文件名称:Weka-3-2

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  • 2012-11-26
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  • 14.73mb
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修正介绍说明

介绍说明－－下载内容均来自于网络，请自行研究使用

Weka is 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, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes.

一个可以实现多种方法分类的软件，利用各个

对象的属性。决策树，距离、密度等-Weka is a collection of machine learning al gorithms for data mining tasks. The algorithms can either be applied directly to a dataset or ca lled from your own Java code. Weka contains tool 's for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for d eveloping new machine learning schemes. can be a real Categories are various methods of software, using all the attributes of objects. Decision Tree, distance, density, etc.相关搜索： weka
决策树
决策树
交叉验证
JAVA
weka
下载
java
data
algorithm
classification
java
clustering
algorithms
in
java
dataset
java
data
mining

(系统自动生成,下载前可以参看下载内容)

下载文件列表

Weka-3-2

........\CHANGELOG-3-1-4

........\CHANGELOG-3-1-5

........\CHANGELOG-3-1-6

........\CHANGELOG-3-1-7

........\CHANGELOG-3-1-8

........\CHANGELOG-3-1-9

........\CHANGELOG-3-2

........\CHANGELOG-3-2-1

........\CHANGELOG-3-2-2

........\CHANGELOG-3-2-3

........\COPYING

........\DATA

........\....\contact-lenses.arff

........\....\cpu.arff

........\....\iris.arff

........\....\labor.arff

........\....\soybean.arff

........\....\weather.arff

........\....\weather.nominal.arff

........\DOC

........\...\IMAGES

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........\...\index-8.html

........\...\index-9.html

........\...\package-weka.associations.html

........\...\package-weka.attributeSelection.html

........\...\package-weka.classifiers.adtree.html

........\...\package-weka.classifiers.evaluation.html

........\...\package-weka.classifiers.html

........\...\package-weka.classifiers.j48.html

........\...\package-weka.classifiers.kstar.html

........\...\package-weka.classifiers.m5.html

........\...\package-weka.classifiers.neural.html

........\...\package-weka.clusterers.html

........\...\package-weka.core.converters.html

........\...\package-weka.core.html

........\...\package-weka.estimators.html

........\...\package-weka.experiment.html

........\...\package-weka.filters.html

........\...\package-weka.gui.experiment.html

........\...\package-weka.gui.explorer.html

........\...\package-weka.gui.html

........\...\package-weka.gui.streams.html

........\...\package-weka.gui.treevisualizer.html

........\...\package-weka.gui.visualize.html

........\...\packages.html

........\...\tree.html

........\...\weka.associations.Apriori.html

........\...\weka.associations.Associator.html

........\...\weka.associations.ItemSet.html

........\...\weka.attributeSelection.ASEvaluation.html

........\...\weka.attributeSelection.ASSearch.html

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