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The code is JAVA programming examples on data mining hierarchical clustering algorithm, not for commercial use
Update : 2025-05-11 Size : 20kb Publisher : 旺旺

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With a brief example illustrates the random weights neural network algorithm, considered for entry-depth study of a small consolidation
Update : 2025-05-11 Size : 1kb Publisher : 郭东

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Apriori algorithm in association rules is a basic algorithm. By Rakesh Agrawal and Ramakrishnan Srikant Drs association rules proposed in 1994 mining algorithms. The purpose of association rules is to find out the relati
Update : 2025-05-11 Size : 9kb Publisher : longwei

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FastUnfolding
Update : 2025-05-11 Size : 4kb Publisher : 周平安

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GAUSS has two electronic help systems, corresponding to the GAUSS pdf manuals (available at http://www.aptech.com). 1. The Command Reference is an easy way to pick up information on commands (as long as they are not deem
Update : 2025-05-11 Size : 674kb Publisher : fahad

MATLAB realize mixed with VB, the combination of the two nested for VB is embedded in MATLAB good examples show
Update : 2025-05-11 Size : 4kb Publisher : guojing

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GUI toolbar and tips, here to give two concrete examples and one drawing.
Update : 2025-05-11 Size : 6kb Publisher : guojing

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Weka can be embedded in the rough set reduction algorithm to further expand weka data mining functions
Update : 2025-05-11 Size : 6kb Publisher : 曾阿牛

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Data Mining the classical algorithm apriori. Entry and set minimum support, output frequent item sets.
Update : 2025-05-11 Size : 4.28mb Publisher : 小雪

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For the case of a mixed Gaussian distribution, using expectation-maximization algorithm, through continuous calculation of the mean and variance of each sample, so that the likelihood function is maximized. Well with the
Update : 2025-05-11 Size : 1kb Publisher : 小明

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Multiverso is a parameter server based framework for training machine learning models on big data with numbers of machines. It is currently a standard C++ library and provides a series of friendly programming interfaces.
Update : 2025-05-11 Size : 72kb Publisher : siegfried

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LightLDA is a distributed system for large scale topic modeling. It implements a distributed sampler that enables very large data sizes and models. LightLDA improves sampling throughput and convergence speed via a fast O
Update : 2025-05-11 Size : 48kb Publisher : siegfried
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