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EclipseWEKA
- 描述在Eclipse下建立Weka的运行环境
0010
- 基于WEKA平台的文本聚类及实现，以及常用的文本聚类效果评价指标-Text clustering based on WEKA platform and implementation, as well as common text clustering validity
2
- for weka process to doument -for weka process to doument
weka
- weka 中文软件 使用，上手简单，可以大致了解weka软件的使用
weka
- weka教程包含权威内容，weka基于java语言的数据挖掘工具，该PPT中有非常详实的原理介绍-weka tutorial contains authoritative content, weka java-based language for data mining tool, which has a very informative PPT introduced the principle
weka3.6.0
- WEKA 3.6版本，官方稳定版本，适合要求稳定版本的同学们！-WEKA 3.6 version, the official stable version, suitable for students that require stable version!
weka_tutorial
- weka英文版教程，很实用 weka in English tutorial, very useful-weka in English tutorial, very useful weka in English tutorial, very useful
weka添加算法方法
- 向weka里面添加算法分为三类： 一，添加算法jar包 二，添加下载的算法 三，自己写算法添加
adaboost
- Now, you ought to implement the AdaBoost.M1 and AdaBoost.M2 algorithms. These algorithms are two versions of the AdaBoost algorithm for handling the Problems with more than two classes. You must first read the paper “Experiments with a New Boosti
weka
- tspData <- read.csv( D:\\weka\\hw\\TSP.csv , header = T, sep = , ) #tspData <- `colnames<-`(tspData,c(1:8)) D <- as.matrix(tspData) tourLength <- function(tour, distMatrix) { tour <- c(tour, tour[1]) route <- embed(tou
base-on-WEKA-text-cluster-apllying
- weka平台的文本分类测试，源代码为java-Text categorization test weka platform, the source code for the java
wekaConnDB
- weka连接数据库oracle、mysql等-Weka connection