搜索资源列表
IntroductiontoInformationRetrieval
- Introduction to Information Retrieval is the first textbook with a coherent treatment of classical and web information retrieval, including web search and the related areas of text classification and text clustering. Written from a computer sci
order
- 文本聚类算法的好东西文 本聚类算法的好东西-Text clustering algorithm for text clustering algorithm good stuff good stuff good stuff text clustering algorithm
shotdetect
- 文本聚类算法的好东西文本聚类算法的好东西-Text clustering algorithm for text clustering algorithm good things good things
DocumentSet_rar
- files that are very useful as data sets for document clustering.. i have done project based on these document sets for my pg degr-files that are very useful as data sets for document clustering.. i have done project based on these document sets for m
111
- 有关层次聚类的源码，对于文本聚类有一定作用。-Hierarchical clustering，Text Clustering
textClusteringBasedOnBackgroundKnowledge
- text Clustering Based On Background Knowledge
myfirst1
- 实现吉布斯采样,可用来处理文本，对文本聚类，分析文本主题，请用vs2010打开-Achieve Gibbs sampling, can be used to handle text, text clustering, analysis of text themes
dsfds
- 语义高质量中文短信文本聚类算法Semantic quality of Chinese SMS text clustering algorithm-Semantic quality of Chinese SMS text clustering algorithm
Introduction-to-Information-Retrieval
- Introduction to Information Retrieval is the first textbook with a coherent treatment of classical and web information retrieval, including web search and the related areas of text classification and text clustering. Written from a computer sci
Kmeans
- K-means算法实现文本聚类，Java实现的版本-K-means algorithm for text clustering
InformationRetrieval
- 关于信息检索技术的说明和文本聚类简介，介绍了几种主要文本聚类算法-Introduction to Information Retrieval and Text Clustering
e4k-means-althogrim
- 基于K—Means的中文文本聚类算法的研究和实现。中文文本聚类的主要技术，特征选择，共享最近邻的K-Means的改进算法。基于k-Means的实现和实验。-Based on the Chinese version of K-Means clustering algorithm and implementation. The main technology of Chinese Text Clustering, feature selection, shared nearest neighbor
vsm-and-cluster-kmeans
- 对文本聚类的向量空间模型机制VSM以及Kmeans等讲解比较详细，是研究文本聚类的好书籍-Clustering of text vector space model to explain the mechanism of VSM and Kmeans and other more detailed, study of text clustering is a good book
KDD_Project_39
- 这是一个关于文字处理的软件。 应有的处理部分都有了。 请注意使用-this is a software for text clustering
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.
234
- ：词汇语义分类存文本聚类、信息检索、机器翻译等多个研究领域l11拥有重要的理论及实践意义-: Lexical semantics, save text clustering, information retrieval, machine translation and other research areas have important theoretical and practical significance
Similarity-Measures-for-Text-Document-Clustering.
- Similarity Measures for Text Document Clustering
TextClustering
- 文本聚类算法包含 tfidf的实现 k-means算法的实现-Text clustering algorithm contains tfidf implementation of the k-means algorithm to achieve
ClusteringAnalysis
- java实现的K-Means文本聚类文章，采用英文撰写，需要源码的可以发邮件lixinle@yahoo.cn。-java realize the K-Means Text Clustering articles written in English to the source code can email lixinle@yahoo.cn.
AdvanceEditDistance
- 编辑距离算法的详尽实现，是文本聚类的很好解决途径，解决了经典编辑距离的弊端，在vc6.0下实现，能处理大规模文本，速度快，效率高。-Edit distance algorithm detailed implementation is a good text clustering solutions to address the shortcomings of the classical edit distance, in vc6.0 to achieve, can handle large-sc