搜索资源列表
Impurity
- this is an weka tool source code implemented in java java impurity algorithm
ID3Node
- this an weka tool source code implemented in java dm id3-this is an weka tool source code implemented in java dm id3
sun
- this an weka tool source code implemented in java enjoy-this is an weka tool source code implemented in java enjoy
text_classification
- 这是一个文本分类的简单算法,基于weka的，实现文本的分类。-This is a easy classification code.
wekaUT.tar
- wekaUT是 university texas austin 开发的基于weka的半指导学习(semi supervised learning)的分类器-university texas austin are wekaUT the development of guidance based on semi-weka study (semi supervised learning) classifier
alphaminer
- 数据挖掘平台，界面和友好，使用很方便，和weka类似-Data mining platform, and friendly interface, very easy to use, and similar weka
AdaCost
- AdaCost算法源程序 java编写 可添加到weka系统中-AdaCost algorithm java source code can be added to the preparation of weka system
ArtiAnomalyG
- 自己编写的一个小算法 用于weka中，数据预处理-I have written for a small weka algorithm, the data pre-processing
RoughSet
- 数据挖掘技术-粗糙集属性约减算法，对其描述以及算法实现！-rough set algorithm
gui_antminer1.2.1
- Short descr iption: GUI Ant-Miner is a tool for extracting classification rules from data. It is an updated version of a data mining algorithm called Ant-Miner (Ant Colony-based Data Miner), which was proposed in 2002 by Parpinelli, Lopes and Freitas
weka-cd
- R language dataset generate program. And data mining for data stream.
a1
- 利用weka 做 machine learning-The use of machine learning to do weka
WLSVM
- 可以在weka中使用并可以在Java中调用的SVM工具包-can be used in weka and called by Java
2
- for weka process to doument -for weka process to doument
ArffSearcher
- 使用Weka分析环境开发的基于Java的图像分割及基于内容检索程序，分割采用最小生成树分割法，检索利用的是小波和共生矩阵提取的特征。-Analysis using the Weka environment for the development of Java-based content-based image segmentation and retrieval procedures, division of segmentation using minimum spanning tree,
EM.java.tar
- EM 算法是 Dempster，Laind，Rubin 于 1977 年提出的求参数极大似然估计的一种方法，它可以从非完整数据集中对参数进行 MLE 估计，是一种非常简单实用的学习算法。这种方法可以广泛地应用于处理缺损数据，截尾数据，带有讨厌数据等所谓的不完全数据(incomplete data)。需要weka的算法包支持。-EM algorithm is Dempster, Laind, Rubin in 1977 for the parameters proposed by maximum
RandomizableClusterer.java.tar
- 该算法是对weka算法包功能的拓展，是聚类算法中的随机聚类分析。需要weka算法包支持。-The algorithm is a function of the weka package expansion algorithm is stochastic clustering algorithm in cluster analysis. Package to support the needs of weka algorithm.
BayesNet.java.tar
- 贝叶斯网络是一种概率网络，它是基于概率推理的图形化网络，而贝叶斯公式则是这个概率网络的基础。贝叶斯网络是基于概率推理的数学模型,所谓概率推理就是通过一些变量的信息来获取其他的概率信息的过程，基于概率推理的贝叶斯网络(Bayesian network)是为了解决不定性和不完整性问题而提出的，它对于解决复杂设备不确定性和关联性引起的故障有很的优势，在多个领域中获得广泛应用。本算法用于weka算法包的拓展。-Bayesian network is a probabilistic network, wh
wekaExperiments
- 数据挖掘有关资料，其中的weka工具的实验文档说明-Data Mining relevant information, including the weka experiment documentation tools
1206691380_1864
- 在自己的算法中调用Weka实现文本分类,是一个小的数据挖掘程序，虽然实用价值不是很大， 但对于Weka的理解和使用是有帮助的。