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ICDM
2002
IEEE
191views Data Mining» more  ICDM 2002»
15 years 6 months ago
Iterative Clustering of High Dimensional Text Data Augmented by Local Search
The k-means algorithm with cosine similarity, also known as the spherical k-means algorithm, is a popular method for clustering document collections. However, spherical k-means ca...
Inderjit S. Dhillon, Yuqiang Guan, J. Kogan
BIRD
2007
Springer
15 years 5 months ago
An Evaluation of Text Retrieval Methods for Similarity Search of Multi-dimensional NMR-Spectra
Abstract. Searching and mining nuclear magnetic resonance (NMR)spectra of naturally occurring substances is an important task to investigate new potentially useful chemical compoun...
Alexander Hinneburg, Andrea Porzel, Karina Wolfram
AI
2006
Springer
15 years 4 months ago
On the Quality and Quantity of Random Decisions in Stochastic Local Search for SAT
Stochastic local search (SLS) methods are underlying some of the best-performing algorithms for certain types of SAT instances, both from an empirical as well as from a theoretical...
Dave A. D. Tompkins, Holger H. Hoos
GECCO
2006
Springer
179views Optimization» more  GECCO 2006»
15 years 4 months ago
Local search for multiobjective function optimization: pareto descent method
Genetic Algorithm (GA) is known as a potent multiobjective optimization method, and the effectiveness of hybridizing it with local search (LS) has recently been reported in the li...
Ken Harada, Jun Sakuma, Shigenobu Kobayashi
100
Voted
CORIA
2006
15 years 2 months ago
On Combining Text and MeSH Searches to Improve the Retrieval of MEDLINE documents
The MEDLINE database is the world largest repository of bio-medical abstracts. It is a central information entry point for most biologists despite the growing availability of full-...
Fabrice Camous, Stephen Blott, Alan F. Smeaton