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GECCO
2007
Springer
209views Optimization» more  GECCO 2007»
15 years 3 months ago
Kernel based automatic clustering using modified particle swarm optimization algorithm
This paper introduces a method for clustering complex and linearly non-separable datasets, without any prior knowledge of the number of naturally occurring clusters. The proposed ...
Ajith Abraham, Swagatam Das, Amit Konar
ICML
1994
IEEE
15 years 1 months ago
Prototype and Feature Selection by Sampling and Random Mutation Hill Climbing Algorithms
With the goal of reducing computational costs without sacrificing accuracy, we describe two algorithms to find sets of prototypes for nearest neighbor classification. Here, the te...
David B. Skalak
CORR
2010
Springer
144views Education» more  CORR 2010»
14 years 9 months ago
CLP-based protein fragment assembly
Abstract. The paper investigates a novel approach, based on Constraint Logic Programming (CLP), to predict the 3D conformation of a protein via fragments assembly. The fragments ar...
Alessandro Dal Palù, Agostino Dovier, Feder...
CIKM
2011
Springer
13 years 9 months ago
Probabilistic near-duplicate detection using simhash
This paper offers a novel look at using a dimensionalityreduction technique called simhash [8] to detect similar document pairs in large-scale collections. We show that this algo...
Sadhan Sood, Dmitri Loguinov
BMCBI
2008
117views more  BMCBI 2008»
14 years 9 months ago
New resampling method for evaluating stability of clusters
Background: Hierarchical clustering is a widely applied tool in the analysis of microarray gene expression data. The assessment of cluster stability is a major challenge in cluste...
Irina Gana Dresen, Tanja Boes, Johannes Hüsin...