Talk:Unsupervised learning

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i want to develop a nueral network application any one could give me ideas plz

I did face recognition! Was reasonably easy to handle: This requires a Self Organizing Map network and a Perceptron Network.

Expand

Sentences like "Another form of unsupervised learning is clustering, which is sometimes not probabilistic" and "Also see formal concept analysis." need to be expanded. -130.49.221.7 14:41, 6 February 2006 (UTC)[reply]

Agreed. In addition, the entire article as of today is very badly written. Robbyjo 21:23, 18 January 2007 (UTC)[reply]

In my eyes, this article is very misleading. K-Means or spectral clustering algorithms are some of the most prominent unsupervised learning algorithms. All of them assume data a priori.

Cost functions

From Neural network I gather that the cost function is different than for Supervised learning, but this article does not explain the issue. Is it like in compression: we don't care what the output would be (the compressed sequence), but we have a cost = the mean length of compressed messages? CDaMama 15:24, 15 April 2007 (UTC)[reply]

Reinforcement Learning

Perhaps the most widely used type of unsupervised learning (at present) is reinforcement learning, but there's nothing on it here. Needs at least a link to the RL page. --72.224.113.64 12:31, 16 August 2007 (UTC)[reply]

What does "examples" mean?

On this page, and the main machine learning page, the phrase "labeled examples" is not explained or defined before being used to describe things. Can somebody come up with a concise definition? --Bcjordan (talk) 16:30, 15 September 2009 (UTC)[reply]