A Tutorial on Clustering Algorithms
Introduction | K-means | Fuzzy C-means | Hierarchical | Mixture of Gaussians | Links
Links
Andrew Moore: “K-means
and Hierarchical Clustering - Tutorial Slides”
http://www-2.cs.cmu.edu/~awm/tutorials/kmeans.html
Brian T. Luke: “K-Means
Clustering”
http://fconyx.ncifcrf.gov/~lukeb/kmeans.html
Tariq Rashid: “Clustering”
http://www.cs.bris.ac.uk/home/tr1690/documentation/fuzzy_clustering_initial_report/node11.html
Hans-Joachim Mucha
and Hizir Sofyan: “Cluster Analysis”
http://www.quantlet.com/mdstat/scripts/xag/html/xaghtmlframe142.html
Frigui Hichem:
“Similarity Measures and Criterion Functions for clustering”
http://prlab.ee.memphis.edu/frigui/ELEC7901/UNSUP2/SimObj.html
Osmar R. Zaïane:
“Principles of Knowledge Discovery in Databases - Chapter 8: Data Clustering”
http://www.cs.ualberta.ca/~zaiane/courses/cmput690/slides/Chapter8/index.html
Pier Luca Lanzi:
“Ingegneria della Conoscenza e Sistemi Esperti – Lezione 2: Apprendimento
non supervisionato”
http://www.elet.polimi.it/upload/lanzi/corsi/icse/2002/Lezione%202%20-%20Apprendimento%20non%20supervisionato.pdf
Stephen P. Borgatti:
“How to explain hierarchical clustering”
http://www.analytictech.com/networks/hiclus.htm
Maria Irene Miranda:
“Clustering methods and algorithms”
http://www.cse.iitb.ac.in/dbms/Data/Courses/CS632/1999/clustering/dbms.html
Jia Li: “Data
Mining - Clustering by Mixture Models”
http://www.stat.psu.edu/~jiali/course/stat597e/notes/mix.pdf