Description: kmeans文本聚类算法的简单实现,是用JAVA实现的-kmeans a simple realization of the text clustering algorithm is implemented using JAVA Platform: |
Size: 11264 |
Author:rocky |
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Description: 文本聚类算法源码,包含tf.idf计算的实现,采用java语言编写-text cluster algorithm, including the computation of tf.idf ,written by Java Platform: |
Size: 9216 |
Author:谭磊 |
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Description: 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 Platform: |
Size: 2488320 |
Author:zhan |
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Description: java实现kmeans算法,可以处理任意维度的向量。并将聚类结果写入文本。-The kmeans algorithm java, and can handle any dimension vector. And write text clustering results. Platform: |
Size: 693248 |
Author:武夷河 |
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Description: k-means算法是文本聚类经典算法,也是数据挖掘十大经典算法之一。k-means算法Java实现。-k-means algorithm is a classical algorithm text clustering, data mining is one of the ten classic algorithms. k-means algorithm is implemented in Java. Platform: |
Size: 2048 |
Author:黄紫竹 |
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Description: 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 of the two documents, and achieve the text clustering with the standard k-means algorithm. Source code for Java implementation) Platform: |
Size: 15360 |
Author:startrek
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