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dbscan classification algorithm
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density-based spatial clustering with application noise. DBSCAN is one of the most common clustering algorithms .
More information in this link:
http://en.wikipedia.org/wiki/DBSCAN
othello 0 0
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Optics clustering algorithm
4.0
Ordering Points to identify clustering structure. OPTICS can be seen as a generalization of DBSCAN to multiple ranges, effectively replacing the parameter with a maximum search radius. Thus it addresses one of DBSCAN's major weaknesses: the problem of detecting meaningful clusters in data of varying density
othello 0 0
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a priori algorithem
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this project is written in C# .it describes a simple implementation of the apriori algorithm, association rules ,data mining.
Apriori is a classic algorithm for othello 2016-08-23
othello 0 0
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ID3 classification algorthm using C#
4.0
ID3 classification algorithm. Very simply, ID3 builds a decision tree from a fixed set of examples. The resulting tree is used to classify future samples. The example has several attributes and belongs to a class (like yes or no). The leaf nodes of the decision tree contain the class name whereas a non-leaf node is a decision node. The decision node is an attribute test with each branch (to another decision tree) being a possible value of the attribute. ID3 uses information gain to help it decide which attribute goes into a decision node.
here is a simple implementation using whether nominal data.
othello 1 0
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