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» Cluster validation using information stability measures
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MICCAI
2004
Springer
15 years 9 months ago
Registration Using Segment Intensity Remapping and Mutual Information
A method for processing images prior to normalized mutual information based registration and an enhancement of the registration measure are presented. The method relies on k-means ...
Zeger F. Knops, J. B. Antoine Maintz, Max A. Vierg...
150
Voted
PRL
2006
139views more  PRL 2006»
15 years 4 months ago
Adaptive Hausdorff distances and dynamic clustering of symbolic interval data
This paper presents a partitional dynamic clustering method for interval data based on adaptive Hausdorff distances. Dynamic clustering algorithms are iterative two-step relocatio...
Francisco de A. T. de Carvalho, Renata M. C. R. de...
TALG
2010
158views more  TALG 2010»
14 years 10 months ago
Clustering for metric and nonmetric distance measures
We study a generalization of the k-median problem with respect to an arbitrary dissimilarity measure D. Given a finite set P of size n, our goal is to find a set C of size k such t...
Marcel R. Ackermann, Johannes Blömer, Christi...
CHI
2010
ACM
15 years 11 months ago
Graphemes: self-organizing shape-based clustered structures for network visualisations
Network visualisations use clustering approaches to simplify the presentation of complex graph structures. We present a novel application of clustering algorithms, which controls ...
Ross Shannon, Aaron J. Quigley, Paddy Nixon
EGOV
2009
Springer
15 years 10 months ago
Refinement, Validation and Benchmarking of a Model for E-Government Service Quality
This paper presents the refinement and validation of a model for Quality of e-Government Services (QeGS). We built upon our previous work where a conceptualized model was identifie...
Babis Magoutas, Gregoris Mentzas