[DataMining] JBIRCH-src

Description: The code is JAVA programming examples on data mining hierarchical clustering algorithm, not for commercial use
Platform: | Size: 20480 | Author: 旺旺 | Hits:

[DataMining] BasicELM

Description: With a brief example illustrates the random weights neural network algorithm, considered for entry-depth study of a small consolidation
Platform: | Size: 1024 | Author: 郭东 | Hits:

[DataMining] apriori

Description: 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
Platform: | Size: 9216 | Author: longwei | Hits:

[DataMining] community

Description: FastUnfolding
Platform: | Size: 4096 | Author: 周平安 | Hits:

[DataMining] heston-summer-xls

Description: 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
Platform: | Size: 690176 | Author: fahad | Hits:

[DataMining] Achieve-mixing-MATLAB-and-VB

Description: MATLAB realize mixed with VB, the combination of the two nested for VB is embedded in MATLAB good examples show
Platform: | Size: 4096 | Author: guojing | Hits:

[DataMining] GUI-toolbar-and-tips

Description: GUI toolbar and tips, here to give two concrete examples and one drawing.
Platform: | Size: 6144 | Author: guojing | Hits:

[DataMining] roughset-into-weka

Description: Weka can be embedded in the rough set reduction algorithm to further expand weka data mining functions
Platform: | Size: 6144 | Author: 曾阿牛 | Hits:

[DataMining] Apriori

Description: Data Mining the classical algorithm apriori. Entry and set minimum support, output frequent item sets.
Platform: | Size: 4484096 | Author: 小雪 | Hits:

[DataMining] EM

Description: 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
Platform: | Size: 1024 | Author: 小明 | Hits:

[DataMining] multiverso-master

Description: 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.
Platform: | Size: 73728 | Author: siegfried | Hits:

[DataMining] lightlda-master

Description: 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
Platform: | Size: 49152 | Author: siegfried | Hits: