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WWW
2010
ACM
15 years 11 months ago
Web-scale k-means clustering
We present two modifications to the popular k-means clustering algorithm to address the extreme requirements for latency, scalability, and sparsity encountered in user-facing web...
D. Sculley
CAIP
2009
Springer
117views Image Analysis» more  CAIP 2009»
15 years 10 months ago
A Hypergraph-Based Model for Graph Clustering: Application to Image Indexing
Abstract. In this paper, we introduce a prototype-based clustering algorithm dealing with graphs. We propose a hypergraph-based model for graph data sets by allowing clusters overl...
Salim Jouili, Salvatore Tabbone
GECCO
2006
Springer
144views Optimization» more  GECCO 2006»
15 years 7 months ago
On semi-supervised clustering via multiobjective optimization
Semi-supervised classification uses aspects of both unsupervised and supervised learning to improve upon the performance of traditional classification methods. Semi-supervised clu...
Julia Handl, Joshua D. Knowles
SAC
2002
ACM
15 years 3 months ago
Short inversions and conserved gene clusters
Two independent sets of recent observations on newly sequenced microbial genomes pertain to the prevalence of short inversion as a gene order rearrangement process and to the lack...
David Sankoff
RECOMB
2004
Springer
16 years 4 months ago
Designing multiple simultaneous seeds for DNA similarity search
The challenge of similarity search in massive DNA sequence databases has inspired major changes in BLAST-style alignment tools, which accelerate search by inspecting only pairs of...
Yanni Sun, Jeremy Buhler