Growing Self-Organizing Map for Online Continuous Clustering
作者： Toby Smith , Damminda Alahakoon
DOI: 10.1007/978-3-642-01088-0_3
关键词:
摘要: The internet age has fuelled an enormous explosion in the amount of information generated by humanity. Much this is transient nature, created to be immediately consumed and built upon (or discarded). field data mining surprisingly scant with algorithms that are geared towards unsupervised knowledge extraction such dynamic streams. This chapter describes a new neural network algorithm inspired self-organising maps. hybrid from growing map (GSOM) cellular probabilistic (CPSOM). result which generates dynamically feature for purpose clustering streams tracking clusters as they evolve stream.
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