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k-means聚类算法的java代码实现,良好的代码风格,适合扩充-k-means clustering algorithm to achieve the java code, the code of good style, suitable for expansion
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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
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it is java code for k means clustering algorithm
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k-means聚类算法的java代码实现-k-means clustering algorithm java code
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This code is K-means clustering code written in java.
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this code of clustering with k-means algorithm with java-this is code of clustering with k-means algorithm with java
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用java语言实现k均值聚类的代码demo,可直接运行,无需调试。-Using java language k-means clustering code demo, it can be run directly without debugging.
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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
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