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BMCBI
2008
122views more  BMCBI 2008»
13 years 4 months ago
A practical comparison of two K-Means clustering algorithms
Background: Data clustering is a powerful technique for identifying data with similar characteristics, such as genes with similar expression patterns. However, not all implementat...
Gregory A. Wilkin, Xiuzhen Huang
HPDC
2002
IEEE
13 years 9 months ago
Multigrain Parallelism for Eigenvalue Computations on Networks of Clusters
Clusters of workstations have become a cost-effective means of performing scientific computations. However, large network latencies, resource sharing, and heterogeneity found in ...
James R. McCombs, Andreas Stathopoulos
JPDC
2007
138views more  JPDC 2007»
13 years 4 months ago
Distributed computation of the knn graph for large high-dimensional point sets
High-dimensional problems arising from robot motion planning, biology, data mining, and geographic information systems often require the computation of k nearest neighbor (knn) gr...
Erion Plaku, Lydia E. Kavraki
PKDD
2010
Springer
166views Data Mining» more  PKDD 2010»
13 years 3 months ago
A Cluster-Level Semi-supervision Model for Interactive Clustering
Abstract. Semi-supervised clustering models, that incorporate user provided constraints to yield meaningful clusters, have recently become a popular area of research. In this paper...
Avinava Dubey, Indrajit Bhattacharya, Shantanu God...
ICSE
2003
IEEE-ACM
14 years 4 months ago
Using Benchmarking to Advance Research: A Challenge to Software Engineering
Benchmarks have been used in computer science to compare the performance of computer systems, information retrieval algorithms, databases, and many other technologies. The creatio...
Susan Elliott Sim, Steve M. Easterbrook, Richard C...