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EclipseWEKA
- 描述在Eclipse下建立Weka的运行环境
eclipse中配置weka
- 在eclipse中配置weka，并需下载一开源包java_cup，本站有
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
UCI数据集
- UCI数据集 人工智能领域 用于weka
simWEKA
- Simulacion en WEKA ... Trabajo de Inteligencia Artificial
da_gonnet
- integration of weka on eclipse
2
- for weka process to doument -for weka process to doument
weka
- 这个weka扩展包是针对weka3.4.10版本的，所以，如果你使用的是3.4.10，可以直接替换该文件即可。如果你使用的是3.5.5，则直接替换会导致weka丧失一些新功能。关键是明白它的加载原理
markuslang_seminar
- how to write weka in java
weka_file
- weka学习笔记，资料，用于数据挖掘的学习软件，同时具有java接口，提供API，为用户自己编程提供二次开发平台-weka study notes, information, learning software for data mining, but also has java interface provides API, for the user to provide secondary development platform programming
weka
- 本文详细介绍了weka的使用方法，是初学者重要的直到工具。-This paper describes the use weka is important until the tool for beginners.
weka
- weka 中文软件 使用，上手简单，可以大致了解weka软件的使用
Speech-Recognition-using-NN-Using-WEKA-Tool
- This good paper on speech recognition using neural networks with WEKA tool-This is good paper on speech recognition using neural networks with WEKA tool
WEKA
- weka最新教程，操作简单，数据挖掘必备-weka latest tutorials, simple, essential data mining
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
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
weka-source-code
- 模式识别重要工具weka的一些源码分析，包括了许多重要的算法，有一定的说明，可供参考。-Weka is the important tool for pattern reco gnition. Here are some source code analysis, including many important algorithms, which have certain specifications and are available for reference.
weka-and-naivebayes
- (1)文档涉及了eclipse环境下weka的使用配置和程序格式 （2）此外，还阐述了naivebayes理论，并对其Java代码进行分析-(1) This document relates to the eclipse environment using Weka configuration and program format. (2) in addition, it also describes the NaiveBayes theory, and analyses the rel
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