搜索资源列表
dsa
- 基于SOM算法实现的文本聚类,有详细的剖析与例证,希望大家喜欢
wawatextcluster
- 蛙蛙的中文文本聚类,主要采用k-means算法。wawa s text cluster using C#.
featureselectionbasedongeneticalgorithm
- 利用遗传算法进行文本聚类的特征选择.把一种特征组合看作一个染色体,对其进行二进制编码,引入文本集密度作为适应度函数进行特征个体适应度的评价.
DATA
- 文本聚类分类数据集 包括20newsgroup 和retuers 中抽取的500条数据,有四个表-Text clustering and classification of data sets including 20newsgroup retuers 500 extracted data, there are four tables
K
- K均值算法-分类器-有效抑制边缘点影响-简单有效-K-means algorithm- Classifier- effectively inhibiting the impact of edge points- simple and effective
kMeans
- k-mean image clustering source code developed using java
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
LJParser
- 聚类算法相关知识,有语料和训练文本集,可供大家学习。-AppWizard has created this application for you. This application not only demonstrates the basics of using the Microsoft Foundation classes but is also a starting point for writing your application.
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
1
- 基于WEKA平台的文本聚类研究与实现 文本聚类是文本挖掘领域的一个重要研究分支,是聚类方法在文本处理领域的应用。本文对基于空间向量模型的文本聚类过程做了较深入的讨论和总结,利用文本语料库,基于数据挖掘工具研究并实现了文本聚类的过程。本文首先给出了文本聚类的思想和过程,回顾了文本聚类领域的已有成果,列举了文本聚类领域在特征表示、特征提取等方面的基础研究工作。另外,本文回顾了现有的文本聚类算法,以及常用的文本聚类效果评价指标。在研究了已有成果的基础上,本文利用20 Newsgroup文本语料库,
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
wenbenjulei
- 一种基于小生境的中文文本聚类新方法-Niche based on the Chinese text of the new method of clustering
K-Means_Text_Cluster
- K-Means文本聚类python实现,文本聚类算法,人名排除歧义-Text Cluster by the algorithm of K-means(include texts), discrimination of name ambiguity.
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
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
optics_cos
- 基于余弦聚类的OPTICS聚类算法,能够用于文本聚类-This is the OPTICS clustering algorithm based on cosine distance which can be used in text clustering.
1
- 主要针对行业应用中用户信息、文本聚类等方面的K-means算法应用,覆盖面广-Mainly for industrial applications, user information, text clustering, K-means algorithm is applied, the coverage of a wide range of
VSM
- vsm矩阵构建以及同现矩阵概率计算,用于文本聚类等-The vsm matrix construction, and calculate the same probability of occurrence matrix for document clustering