Talk:Unsupervised learning

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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.

This article is misleading and it also assumes a lot of prior knowledge with out explaining its terms very well. Are there other tags that can be added to this article to warn future readers?--Stewartm82 (talk) 13:31, 9 May 2010 (UTC)[reply]

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]

Does a neural network really belong to unsupervised learning?

Since a neural network has to be trained with preclassified training data I assume this belongs to supervised learning --Ormium (talk) 09:21, 1 February 2011 (UTC)[reply]

No, not all neural nets have training and testing phases. unsupervised neural networks do unsupervised clustering.

Indeed, Hebbian learning is the classical example of unsupervised learning, and stems from work on neural networks (Donald Hebb). MNegrello (talk) 19:58, 11 May 2016 (UTC)[reply]

Robotics attention needed

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Chaosdruid (talk) 10:57, 16 March 2011 (UTC)[reply]

What does "unlabeled data" mean?

What does "unlabeled data", as used in the article's opening sentence, mean? Duoduoduo (talk) 22:01, 4 February 2013 (UTC)[reply]

From what I understand, it means there is no ground truth. The expected class (or label) output is unknown for all data. — Preceding unsigned comment added by 184.161.104.234 (talk) 22:53, 4 July 2014 (UTC)[reply]

Precisely. Labeling the data is the essence of supervision. MNegrello (talk) 20:00, 11 May 2016 (UTC)[reply]

Pick Finder

Is it a kind of 1D Unsupervised learning? If you think about a possible algorithm. It has to exclude noise. Which part is "supervised" and which part is not? Given noise? — Preceding unsigned comment added by 84.75.169.43 (talk) 19:55, 18 July 2015 (UTC)[reply]