Description: This procedure is used to write a Python Bayes classifier, through this program can be broadly master the principles of Bayes. Platform: |
Size: 2048 |
Author:liuchao |
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Description: This procedure is to use python to write a decision tree algorithm, this example can be achieved by a simple decision tree processing, you can also learn the basic idea of the decision tree algorithm. Platform: |
Size: 2048 |
Author:liuchao |
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Description: The program is written in python a K-means algorithm, the algorithm can learn a python algorithm implementation processes, and learning to use the algorithm. Platform: |
Size: 82944 |
Author:liuchao |
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Description: The program is written in python a K-nearest neighbor algorithm, this example can grasp the K-nearest neighbor algorithm, a learning data mining and efficient algorithms. Platform: |
Size: 1024 |
Author:liuchao |
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Description: genetic algorithm for optimization and bee colony algorithm accompanied by fuzzy c means clustering . Platform: |
Size: 7168 |
Author:pariya |
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Description: Using python language commonly used probabilistic algorithms, highly recommended undergraduate study in probability theory, when these algorithms run a race, to develop Bayesian thinking Platform: |
Size: 687104 |
Author:lwc |
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Description: Implement random ball cover integrated classifier algorithm using matlab programming, first get good results on UCI data set, and then in six gene expression data sets through a case description. Platform: |
Size: 877568 |
Author:lubo |
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