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IDEAL
2009
Springer
16 years 1 months ago
Clustering with XCS and Agglomerative Rule Merging
Abstract. In this paper, we present a more effective approach to clustering with eXtended Classifier System (XCS) which is divided into two phases. The first phase is the XCS le...
Liangdong Shi, Yinghuan Shi, Yang Gao
IDA
2009
Springer
15 years 11 months ago
Compensation of Translational Displacement in Time Series Clustering Using Cross Correlation
Although k-means clustering is often applied to time series clustering, the underlying Euclidean distance measure is very restrictive in comparison to the human perception of time ...
Frank Höppner, Frank Klawonn
ECAI
2000
Springer
15 years 11 months ago
Designing Clustering Methods for Ontology Building - The Mo'K Workbench
This paper describes Mo’K, a configurable workbench that supports the development of conceptual clustering methods for ontology building. Mo’K is intended to assist ontology de...
Gilles Bisson, Claire Nedellec, Dolores Cañ...
MVA
2007
159views Computer Vision» more  MVA 2007»
15 years 8 months ago
Action Recognition of Insects Using Spectral Clustering
We propose a technique to recognize actions of grasshoppers based on spectral clustering. We track the object in 3D and construct features using 3D object movement in segments of ...
Maryam Moslemi Naeini, Greg Dutton, Kristina Rothl...
BIBE
2010
IEEE
181views Bioinformatics» more  BIBE 2010»
15 years 7 months ago
Multi Level Clustering of Phylogenetic Profiles
The prediction of gene function from genome sequences is one of the main issues in Bioinformatics. Most computational approaches are based on the similarity between sequences to in...
Fotis E. Psomopoulos, Pericles A. Mitkas