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Competitive Learning


One question which seems to puzzle many of those who encounter unsupervised learning for the first time is how can anything useful be achieved when input information is simply poured into a black box with no provision of any rules as to how this information should be categorized.
If the information is sorted on the basis of how similar one input is with another, then we will have accomplished an important step in condensing the available information by developing a more compact representation. We can represent this information, and any subsequent information, in a much reduced fashion.
That can be achieved using Competitive Networks or Self Organized Maps.

 



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Last Update: 10/06/2003