I am looking for good introductory and advanced books on unsupervised learning. I have already read books like Probabilistic Graphical Models from D. Kholler and Pattern Recognition and Machine Learning from C. M. Bishop. I am also very familiar with the Ph.D. thesis of K. P. Murphy, on Dynamic Bayesian Networks.
I have read all of the above mostly for the probability aspects, not really the applications to AI and ML. I would like to know what are the good books (or references) for unsupervised learning, that focuses on practical exercises and examples instead of deep and abstract concepts.