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用java语言实现文本聚类，包括聚类前的数据预处理：分词、降维、建立向量空间模型等,Implementation using java language text clustering, including clustering of the data pre-processing before: segmentation, dimensionality reduction, set up, such as Vector Space Model
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关于自然语言处理、机器学习的一个开源软件。-MALLET is an integrated collection of Java code useful for statistical natural language processing, document classification, clustering, information extraction, and other machine learning applications to text.
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Document clustering using Java Neural Network
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实现的文档聚类的JAVA程序，适宜入门。-Implementation document clustering JAVA program, suitable for entry.
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DOCUMENT OF clustering
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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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