A Growing Self-Organizing Algorithm for Dynamic Clustering
نویسندگان
چکیده
This paper presents a novel growing self-organizing algorithm for dynamic clustering. Controlling a signal counter of each cell, the network can grow. Also, if there exists undesired cell for the clustering, the cell can be deleted virtually. Our algorithm can reinforce the clustering function and the learned network can adapt flexibly to time-variant input space.
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