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» Landscape of Clustering Algorithms
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SEDE
2008
15 years 1 months ago
Improving Fuzzy Algorithms for Automatic Magnetic Resonance Image Segmentation
: In this paper, we present reliable algorithms for fuzzy k-means and C-means that could improve MRI segmentation. Since the k-means or FCM method aims to minimize the sum of squar...
Ennumeri A. Zanaty, Sultan Aljahdali, Narayan C. D...
STOC
2002
ACM
103views Algorithms» more  STOC 2002»
16 years 3 days ago
Approximate clustering via core-sets
In this paper, we show that for several clustering problems one can extract a small set of points, so that using those core-sets enable us to perform approximate clustering effici...
Mihai Badoiu, Sariel Har-Peled, Piotr Indyk
GLOBECOM
2009
IEEE
15 years 3 months ago
Mobility-Based Clustering in VANETs Using Affinity Propagation
Abstract--The recent research in cluster-based MAC and routing schemes for Vehicle Ad Hoc Networks (VANETs) motivates the necessity for a stable VANET clustering algorithm. Due to ...
Christine Shea, Behnam Hassanabadi, Shahrokh Valae...
PAKDD
2010
ACM
169views Data Mining» more  PAKDD 2010»
15 years 1 months ago
Correspondence Clustering: An Approach to Cluster Multiple Related Spatial Datasets
Domain experts are frequently interested to analyze multiple related spatial datasets. This capability is important for change analysis and contrast mining. In this paper, a novel ...
Vadeerat Rinsurongkawong, Christoph F. Eick
KDD
2006
ACM
112views Data Mining» more  KDD 2006»
16 years 7 days ago
K-means clustering versus validation measures: a data distribution perspective
K-means is a widely used partitional clustering method. While there are considerable research efforts to characterize the key features of K-means clustering, further investigation...
Hui Xiong, Junjie Wu, Jian Chen