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PRL
2008
161views more  PRL 2008»
13 years 8 months ago
Automatic kernel clustering with a Multi-Elitist Particle Swarm Optimization Algorithm
This article introduces a scheme for clustering complex and linearly non-separable datasets, without any prior knowledge of the number of naturally occurring groups in the data. T...
Swagatam Das, Ajith Abraham, Amit Konar
SIGGRAPH
1994
ACM
14 years 20 days ago
A clustering algorithm for radiosity in complex environments
We present an approach for accelerating hierarchical radiosity by clustering objects. Previous approaches constructed effective hierarchies by subdividing surfaces, but could not ...
Brian E. Smits, James Arvo, Donald P. Greenberg
SIGMOD
2000
ACM
165views Database» more  SIGMOD 2000»
14 years 29 days ago
Finding Generalized Projected Clusters In High Dimensional Spaces
High dimensional data has always been a challenge for clustering algorithms because of the inherent sparsity of the points. Recent research results indicate that in high dimension...
Charu C. Aggarwal, Philip S. Yu
DASFAA
2007
IEEE
240views Database» more  DASFAA 2007»
14 years 2 months ago
A Comparative Study of Ontology Based Term Similarity Measures on PubMed Document Clustering
Recent research shows that ontology as background knowledge can improve document clustering quality with its concept hierarchy knowledge. Previous studies take term semantic simila...
Xiaodan Zhang, Liping Jing, Xiaohua Hu, Michael K....
BMCBI
2010
94views more  BMCBI 2010»
13 years 8 months ago
A comparative study of conservation and variation scores
Background: Conservation and variation scores are used when evaluating sites in a multiple sequence alignment, in order to identify residues critical for structure or function. A ...
Fredrik Johansson, Hiroyuki Toh