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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
similarity.文本相似度计算余弦相似度代码
- 文本相似度计算余弦相似度代码，计算文本相似度，用于搜索引擎,Cosine similarity of text similarity computation code, the text of the similarity calculation for the search engine
VSMSimilarity
- 余弦相似度计算C#源代码，采用经典改进tf_idf特征值-Cosine similarity calculation C# source code, using the classical features of value to improve tf_idf
TFIDF
- 用c#写的计算文本向量的TFIDF算法源码，同时包括用cosine距离计算文本相似度的算法源码-Calculation using c# to write the text of the TFIDF vector algorithm source code, while including the use of cosine similarity distance calculation algorithm for source text
Shani_Mean_shift_track
- Cosine Similarity function recives a video frame oject and calculates the consine sililarity function. please enjoy
digraph
- 用于统计任一英文文档中26个字母的统计频率，得到频率矩阵-Second, it fuses the features of the first singular value component and the second one, and then gets the complex feature vectors which reflect not only the statistic frequency but also the sequential structure of letters
testtext
- 测试文本，选用著名的gettysburg这篇英文文本做为测试文本-Second, it fuses the features of the first singular value component and the second one, and then gets the complex feature vectors which reflect not only the statistic frequency but also the sequential structure of let
result
- 最后的测试程序，得出文本检索的正确率和召回率-In the end, the cosine similarity of texts is used to measure the similarity between the query and documents. The data comparison indicates that this algorithm has well experimental results. Moreover, it gets the advantage over
cluster
- 我做的用Kmeans方法，分别采用欧式距离。夹角余弦，和度量函数的方法来表示两点的相似度-I do use Kmeans methods were used Euclidean distance. Angle cosine, and methods of measurement functions to represent the similarity of two
cosine
- cosine similarity measure
Vector+tf-idf
- Cosine similarity with TFIDF for information retrieval
Vectortfidstopwords
- Information retriever based on cosine similarity with TFIDF weights and stopwords
cos
- 计算2个文档的余弦相似度，c#实现，环境是vs2010-2 documents calculate the cosine similarity, c# implementation, the environment is vs2010
DataMining
- Data Mining, for calculating Correlation, Euclidean distance, and cosine similarity, between objects and attributes.
sourcearesult
- 用JAVA实现k-means算法，其中聚类方法使用余弦相似度-Using JAVA k-means algorithm, clustering method using the cosine similarity
ComputerDecision
- 计算文本的余弦相似度，进行文本分类 。两文本相似度越接近1，越有可能被分为1类-Calculated text cosine similarity for text classification
similarity
- 文本相似度计算余弦相似度代码，计算文本相似度，用于搜索引擎-Cosine similarity of text similarity computation code, the text of the similarity calculation for the search engine
image-matching-
- 针对 １２８ 维 ＳＩＦＴ 特 征向量，采用距离匹配和余弦相似度匹配相结合的测度方法，利用特征点方向一致性进一步降低误匹配率 ． 实验结 果表明：改进算法对图像的缩放、旋转、光照、噪声和小尺度的视角变换均有较好的匹配效果 ． 与原算法相比，在保 证匹配点数和匹配时间的基础上，改进算法对旋转、缩放、噪声模糊和光照变换的误匹配率平均降低 １０％～２０％ ， 对于小尺度的视角变换，误匹配率平均降低 ５％． -For 128-dimensi
com
- the package contains software for document clustering based on cosine similarity measure
java-string-similarity-master
- similarity cosine ontology