List of unsupervised learning algorithms.

Hi r/machineLearning!

So, after having dabbled here and there in machine learning for some time now, I think I now know what I am truly interested in. It took me some time to figure it out, but I needed to survey the landscape first.

I want to really dive into _un_supervised learning. This has a two fold advantage for me, one, I am very interested in the subject, and two, I believe I will be able to use it in my line of work which is very signal-processing intensive.

So, quite simply, I wanted to ask any of you, and those more experienced than me, for an "executive summary" or list, of unsupervised learning algorithms.

(If you like, feel free to add a brief run down of your thoughts for each one on the list. What are their strengths? What might be some disadvantages? Pitfalls? Can you sprinkle some intuition on each one?)

From the list, I am fairly certain that I will be able to do enough focused research and learn them all very well eventually. I just need a starting point list.

(I have already taken Andrew Ngs class on coursera).

So far my list includes:

1) K-Means

2) ICA

Thanks in advance!!