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一个增量文本聚类的算法。
参考文献：
Wai-chiu Wong, Ada Wai-chee Fu, Incremental Document Clustering for Web Page Classification. -an incremental version of the clustering algorithm. References : Wai-chiu Wong, Ada Wai-CHEE Fu, Incremental Document Clustering for
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模式识别中的聚类k均值算法用C++ builder编码实现是cpp文件-pattern recognition of k-means clustering algorithm coded in C builder realization of the document cpp
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文本聚类，VC编程实现，作为一种无监督的机器学习方法，聚类由于不需要训练过程，以及不需要预先对文档手工标注类别，因此具有一定的灵活性和较高的自动化处理能力-Text Clustering, VC programming, as an unsupervised machine learning method, clustering by eliminating the need for the training process, and do not need to manually pre-ma
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这是本人的毕业设计，用vb实现基于pso算法的文档聚类算法-This is my graduation project using vb algorithms pso-based Document Clustering Algorithm
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文档分类，用K均值，加入了K的选择算法，不用人为设定聚类个数-Document classification, using K-means, joined the K of the selection algorithm, not the number of artificial clustering
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Clustering Evaluation: Evaluate the clustering result by accuracy and normalized mutual information
Deng Cai, Xiaofei He, and Jiawei Han, "Document Clustering Using Locality Preserving Indexing", in IEEE TKDE, 2005. Bibtex source
bestMap
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实现了k-means极其改良算法，提高了聚类的精度。内附详细文字说明及源代码，配有图形界面演示。-The implementation of k-means algorithm and its plus.Improve the accuration of clustering.The document and source are both added.
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javaSwing实现的web文档聚类方法研究，不同权值与精度，直接输入新闻网址，可以自动解析并聚类web文档-javaSwing implemented method of web document clustering, different weights and precision, direct input news sites, you can automatically parse and web document clustering
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Temporal data clustering using ensemble algorithm. this fie only document for reference.and this file is first module for this project.
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粒计算的论文，共11篇，具有很高的参考价值，基于粒计算的文档聚类等等。-Granular computing papers, a total of 11, with a high reference value, document clustering based on granular computing and so on.
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该文档是对聚类算法评价的综述。希望对亲能有所帮助。-The document is an overview of the evaluation of the clustering algorithm. Pro can be helpful.
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