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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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files that are very useful as data sets for document clustering.. i have done project based on these document sets for my pg degr-files that are very useful as data sets for document clustering.. i have done project based on these document sets for m
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流形学习，局部线性嵌入式算法(LLE)，一种智能的算法去推测捕捉高维空间中所包含的低维特征。与适合于局部维数约减的聚类算法不同，LLE算法在单一的低维的全域坐标系统中表征采样空间，然而它并没有优化最小局域。通过对线性重构的局域对称的研究应用，LLE能够描述非线性流形的全局结构，例如那些人脸的数据集或者文本文档集-Manifold learning, embedded local linear algorithm (LLE), an intelligent algorithm to predict
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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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基于文本数据的投票k-means聚类融合算法的实现-Voting k-means clustering text-based data fusion algorithm implementation
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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.
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PDF格式的PPT，来自英国南安普顿大学。主要介绍了数据挖掘的技术以及应用，包括决策树，推荐系统，文本聚类，搜索引擎，购物篮子分析。-PPT PDF format, the University of Southampton. It introduces data mining technology and applications, including decision, recommendation systems, text clustering, search engines, sho
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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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