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This project tries to include Time Adaptive Self-Organizing Map (TASOM) implementations for solving Computational Intelligence problems such as Pattern Recognition, Computer Vision, Clustering, Active Contour Modeling, and the like.
The TASOM has been originally introduced for adaptive and changing environments. Several versions of TASOM networks have been introduced. Some of them are capable of changing the number of neurons based on the problems at hand.
Moreover, a binary tree version of the TASOM has been introduced for faster performance.
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Computer Vision LibrariesFollow Time Adaptive Self-Organizing Map
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