文件名称:Adaboost
介绍说明－－下载内容均来自于网络，请自行研究使用
一位同学对adaboost的java实现。Adaboost是一种迭代算法，其核心思想是针对同一个训练集训练不同的分类器(弱分类器)，然后把这些弱分类器集合起来，构成一个更强的最终分类器（强分类器）。-adaboost code
(系统自动生成,下载前可以参看下载内容)
下载文件列表
Adaboost\.classpath
........\.project
........\.settings\org.eclipse.jdt.core.prefs
........\bin\AdaboostAlgorithm.class
........\...\AdboostResult.class
........\...\learner\Adaboost.class
........\...\.......\Classifier.class
........\...\.......\Data.class
........\...\.......\Datastructure.class
........\...\.......\DistanceMajority.class
........\...\.......\Knn.class
........\...\.......\LearnerInterface$1.class
........\...\.......\LearnerInterface$2.class
........\...\.......\LearnerInterface$3.class
........\...\.......\LearnerInterface$4.class
........\...\.......\LearnerInterface$5.class
........\...\.......\LearnerInterface$6.class
........\...\.......\LearnerInterface$7.class
........\...\.......\LearnerInterface$8.class
........\...\.......\LearnerInterface$9.class
........\...\.......\LearnerInterface.class
........\...\.......\Linear.class
........\...\.......\Parzen.class
........\...\main.class
........\...\PerceptronApproach.class
........\src\AdaboostAlgorithm.java
........\...\AdboostResult.java
........\...\main.java
........\...\PerceptronApproach.java
........\bin\learner
........\.settings
........\bin
........\src
Adaboost