搜索资源列表
pLSA
- 用于文本分析和分类的pLSA(Probability Latent Semantic Analysis)的Matlab算法，含有测试数据及算法原理介绍。也可用于图像分析。相比原来的版本，增加了示例程序demo.m，以实现可视化效果，用户更容易使用和理解pLSA算法。-For text analysis and classification of pLSA (Probability Latent Semantic Analysis) of the Matlab algorithm with tes
KNN0.0_0.0
- 这是用java实现的KNN算法分类器 实现了机器的自动学习与文本自动分类 仅供学习使用-This is a java implementation of the KNN algorithm with classifier achieved the automatic machine learning and text categorization learning to use only
1111
- 文本挖掘-中文分类器搜索，可以挖掘出文本主干，利用贝叶斯算法。-Text mining
Classification
- 该程序包含了，整个文本分类的程序，用java语言实现的。-This project is support for test classfication
MessageClassify
- 通过Kmeans算法实现的文本分类程序，用java写的。-A text clustering program written in java.
TextMining
- 文本分类学习的好例子，用java调用weka进行中文文本本分类的源码-text classification code
com
- 贝叶斯文本分类小算法，使用java实现，可进行简单的文本分类-Bayesian text classification algorithm, implemented using java, simple text classification
baiyesi-for-note-classification
- 下载到的一个用java编写的贝叶斯简单文本分类的程序-Downloaded to a preparation using java simple Bayesian text classification program
NaiveBayesClassifier
- 基于朴素贝叶斯的文本分类代码实现，java-Based on Bayesian text classification code，java
knn
- 分别利用java和C++实现的KNN文本分类算法，每个程序模块都有详细注释-Respectively, the use of java and C++ implementation of KNN text classification algorithm, each program module has detailed notes
malletTest
- mallet测试代码， 非常优秀的自然语言处理工具包，基于Java编写，可以进行文本分类，聚类等功能，并且支持加入自定义的算法，其中有众多的ＡＰＩ接口，有着很好的研究和实用价值。-mallet test code, very good natural language processing toolkit based on Java, you can text classification, clustering and other functions, and supports adding
MyTextCluster
- 实现k-means算法的文本分类，用java代码实现的，希望对大家能有帮组-k-means cluster
Job1
- 这是一个实现文本分类的朴素贝叶斯方法，用java语言编写-This is a realization of Naive Bayesian text classification methods, written in java language
tfidf
- 用于文本分类，计算tfidf值，自己创建java工程，然后将类加进入就可以了。记得修改路径就行。-Clustering Algorithm
NGram
- java 实现基于N-gram的文本分类算法-java based N-gram-based text classification algorithm
LDA4j-master
- LDA4j-master.LDA 代码 for 文本分类-LDA4j-master for Java source code.
bayes
- java实现朴素贝叶斯中文文本分类器。自带分类语料和实验报告。功能完整。-java implement Naive Bayes Chinese text categorization. Own classification corpus and test reports. Full-featured.
Bias_algorithm_java
- 贝叶斯算法java实现,在贝叶斯算法思想基础上做改进，提供文本分类效率-Bias algorithm java implementation, based on the idea of Bias algorithm to improve the efficiency of text classification
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
tezheng
- 面向文本分类的特征选择方法，java语言开发-Feature selection method for text classification, java language development