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» A practical comparison of two K-Means clustering algorithms
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BMCBI
2010
189views more  BMCBI 2010»
15 years 1 months ago
Efficient parallel and out of core algorithms for constructing large bi-directed de Bruijn graphs
Background: Assembling genomic sequences from a set of overlapping reads is one of the most fundamental problems in computational biology. Algorithms addressing the assembly probl...
Vamsi Kundeti, Sanguthevar Rajasekaran, Hieu Dinh,...
MCS
2007
Springer
15 years 7 months ago
Selecting Diversifying Heuristics for Cluster Ensembles
Abstract. Cluster ensembles are deemed to be better than single clustering algorithms for discovering complex or noisy structures in data. Various heuristics for constructing such ...
Stefan Todorov Hadjitodorov, Ludmila I. Kuncheva
BPM
2009
Springer
195views Business» more  BPM 2009»
15 years 7 months ago
Process Mining: Fuzzy Clustering and Performance Visualization
The goal of performance analysis of business processes is to gain insights into operational processes, for the purpose of optimizing them. To intuitively show which parts of the pr...
Boudewijn F. van Dongen, A. Adriansyah
ACIVS
2007
Springer
15 years 7 months ago
Shape Extraction Via Heat Flow Analogy
Abstract. In this paper, we introduce a novel evolution-based segmentation algorithm by using the heat flow analogy, to gain practical advantage. The proposed algorithm consists of...
Cem Direkoglu, Mark S. Nixon
BMCBI
2010
90views more  BMCBI 2010»
15 years 1 months ago
Local alignment of generalized k-base encoded DNA sequence
Background: DNA sequence comparison is a well-studied problem, in which two DNA sequences are compared using a weighted edit distance. Recent DNA sequencing technologies however o...
Nils Homer, Stanley F. Nelson, Barry Merriman