搜索资源列表
JAVA实现文本聚类，用到TF/IDF权重
- JAVA实现文本聚类，用到TF/IDF权重，用余弦夹角计算文本相似度，用k-means进行数据聚类等数学和统计 知识。,JAVA realization of text clustering, using TF/IDF weight, calculated using cosine angle between the text of similarity, using k-means clustering for data such as mathematical and statistical
tf-idf用于文档聚类
- tf-idf用于文档聚类，权重计算，用MATLAB实现的，自己编写非常好用！,tf-idf for Document Clustering, weight calculation, use MATLAB to achieve, I have written is very easy to use!
tfidf
- 我用容器写的文本词条tfidf权值计算程序，简单实用，内含文件格式，适合中英文-I used to write the text container tfidf term weight calculation program, simple and practical, including file format, suitable in both English and Chinese
TFIDF
- 用于计算文档向量的TFIDF权值，代码使用Java语言写的-Used to calculate the document vector of TFIDF weight, code written using the Java language
TF-IDF
- The tf–idf weight (term frequency–inverse document frequency) is a weight often used in information retrieval and text mining. This weight is a statistical measure used to evaluate how important a word is to a document in a collection or corpus. The
tfidf
- TF-IDF算法,用于统计词频，并找出关键字，以及计算出权重值。-TF-IDF algorithm, used for statistical word frequency, and find out the key, and calculates a weight value.
IR
- 索引词的选择 1、 切词及词频统计：利用已选择的分词软件对文档进行切词处理，并进行词频统计，形成DocIndex文件，结构为：文档号、频率、词。注意保留中间结果，建立合理的数据结构来存储。 2、 分配词权重： 采用词频标准化（tfi = tfi/Max(tf)）和tf*idf两种方式分配词的权重。由DocIndex文件生成DocIndex(tf) 和DocIndex(tf*idf)文件。注意阈值的确定，词的取舍。 3、 形成倒置文档：将DocIndex(tf) 和DocInde
IFIDF
- 文件为tf-idf的代码实现，常用来计算特征项在文本中的权重值-File for TF-IDF' s code, used to calculate the weight value of the feature item in the text
CosineSimilarAlgorithmzf
- 这里会用到TF/IDF权重，用余弦夹角计算文本相似度，用方差计算两个数据间欧式距离，用k-means进行数据聚类等数学和统计知识。-Here will use the TF/IDF weight, with cosine angle calculation of text similarity, with the variance of the two data between the data of the European distance, with K-means data cluste
Kmeans
- 算法思想：提取文档的TF/IDF权重，然后用余弦定理计算两个多维向量的距离来计算两篇文档的相似度，用标准的k-means算法就可以实现文本聚类。源码为java实现(Algorithm idea: extract the TF/IDF weight of the document, then calculate the distance between two multidimensional vectors by cosine theorem, calculate the similarity
TF-IDF.py
- 用于计算TF-IDF权重值，便于后续进行特征提取等工作(for calculating the weighted value of TF-IDF)