New proximity estimate for incremental update of non uniformly distributed clusters
On the Parallel Complexity of Hierarchical Clustering and CC-Complete Problems Dr. Raymond Greenlaw School of Computing Armstrong Atlantic State University.
ALGORITHMS AND APPLICATIONS Clustering (Chap 7). Introduction Clustering is an important data mining task. Clustering makes it possible to almost automatically.
Optimal parameter selection for unsupervised neural network using genetic algorithm
PhDThesis, Dr Shen Furao
E XTENDED F AST S EARCH C LUSTERING A LGORITHM : W IDELY D ENSITY C LUSTERS , N O D ENSITY P EAKS
Introductory Guide to Clustering
Secure and efficient data transmission for cluster based wireless sensor network
Data Clustering Using Wave Atom.pdf
A New Algorithm of Fuzzy Clustering for Data with Uncertainties: Fuzzy c-Means for Data with Tolerance Defined as Hyper-rectangles ENDO Yasunori MIYAMOTO.
Clustering by Passing Messages Between Data Points Brendan J. Frey and Delbert Dueck Science, 2007.
Clustering Aggregation
