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gmeans-- Clustering with first variation and splitting
文本聚类算法Gmeans ,使用了3种相似度函数,cosine,euclidean ,KL.文本数据使用的是稀疏矩阵形式.
-gmeans clustering with first variation and splitting
Gmeans,a text clustering algorithm, uses 3 functions,cosine,euclidean and
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ector quantization is a classical quantization technique from signal processing which allows the modeling of probability density functions by the distribution of prototype vectors. It was originally used for data compression. It works by dividing a l
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AP聚类算法的C++代码实现，其中数据是文本读入iris数据，P值选取欧式矩阵最小值。显示结果为聚类后结果-AP clustering algorithm C++ code, in which data is read into the text iris data, P values selected European matrix minimum. Showing results clustering results after
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数据挖掘的聚类算法实现
Implementation of text clustering algorithms including K-means, MBSAS, DBSCAN-data mining cluster
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机器学习中文本聚类算法，里面有5个文件，包含Python实现代码和测试数据。-The clustering algorithm machine learning Chinese, there are five files that contain Python implementation code and test data.
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