- Links: links to other resources on the web
- Books: books from Smith Library, whose call number can be checked on the web as well (use a href="http://www.smith.edu/libraries/">Smith Library Website)
Most of the links listed here can be found directly under the topics that they refer to (for example, python links under Python ). I put them down again for easy references:
In general, I'm a Google fan. I tried
different keywords like: clustering algorithms, mixture gaussians, etc. If you
are adventurous, you can try to reverse the words, add/remove "s", "ing" and
many a time, you'll thrilled at how much more you found.
For me, here is the short-list from multiple Google searches:
- General clustering algorithms:here. This recommended website covers 4 clustering algorithms, and give an example of each. It also have links to other valuable resources online.
- Powerpoint presentation on clustering algorithms: http://www.cs.ualberta.ca/%7Ezaiane/courses/cmput690/slides/Chapter8/index.html. This link is withdrawn from the bibliography of the site above however, as it is very detailed, I thought it may be helpful to put it here directly
- Interactive applet for Mixture Gaussian Algorithm: http://diwww.epfl.ch/mantra/tutorial/english/gaussian/html/
- Learning for Gaussian Mixtures: includes Mathlab codes and other publication: http://carol.science.uva.nl/~jverbeek/gm/
- Clustering for Mathlab, including the codes by David Comey: http://www.cs.ucl.ac.uk/staff/D.Corney/ClusteringMatlab.html
- Lecture on Mixture Gaussian Algorithm: in pdf format: http://espresso.ee.sun.ac.za/~schwardt/pr813/lectures/lecture06/pr813_lecture06.pdf
- Papers on clustering analyses from Washington University: http://www.stat.washington.edu/fraley/mclust/reps.shtml: a paper on model based cluster ananlysis that I found particularly relevant to my topic is : How Many Clusters? Which clustering method?-Answer via Model-Based Cluster Analysis, but it is in Postscript, so please download Postcript reader first (if you are in Unix, probably you have it already; if in Windows, a free program is Ghostscript).
- Mixture Modelling Page: http://www.csse.monash.edu.au/~dld/mixture.modelling.page.html: this site lists many mixture modelling resources online; however, most are links to societies and organizations, which I found less relevant to what I'm looking for
Books from Smith College library:
- Cluster analysis by Aldenderfer, Mark L. and Blashfield, Roger K. 2 copies available in Neilson and Science
- Clustering Algorithms by Hartigan, John A.: include helpful FORTRAN codes
If you have any suggestion, please email me at firstname.lastname@example.org.