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EVOW
2009
Springer
15 years 5 months ago
Validation of a Morphogenesis Model of Drosophila Early Development by a Multi-objective Evolutionary Optimization Algorithm
We apply evolutionary computation to calibrate the parameters of a morphogenesis model of Drosophila early development. The model aims to describe the establishment of the steady g...
Rui Dilão, Daniele Muraro, Miguel Nicolau, ...
DATAMINE
2002
114views more  DATAMINE 2002»
14 years 10 months ago
Techniques of Cluster Algorithms in Data Mining
An overview of cluster analysis techniques from a data mining point of view is given. This is done by a strict separation of the questions of various similarity and distance measur...
Johannes Grabmeier, Andreas Rudolph
PAKDD
2007
ACM
158views Data Mining» more  PAKDD 2007»
15 years 4 months ago
Density-Sensitive Evolutionary Clustering
In this study, we propose a novel evolutionary algorithm-based clustering method, named density-sensitive evolutionary clustering (DSEC). In DSEC, each individual is a sequence of ...
Maoguo Gong, Licheng Jiao, Ling Wang, Liefeng Bo
82
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GLOBECOM
2006
IEEE
15 years 4 months ago
Cluster-Based MIMO Channel Model Parameters Extracted from Indoor Time-Variant Measurements
— This paper presents a complete solution to the problem of how to parametrise cluster-based stochastic MIMO channel models from measurement data, with minimum user intervention....
Nicolai Czink, Ernst Bonek, Lassi Hentila, Jukka-P...
NIPS
2004
14 years 11 months ago
Semi-supervised Learning with Penalized Probabilistic Clustering
While clustering is usually an unsupervised operation, there are circumstances in which we believe (with varying degrees of certainty) that items A and B should be assigned to the...
Zhengdong Lu, Todd K. Leen