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» On Weighting Clustering
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111
Voted
KDD
2004
ACM
190views Data Mining» more  KDD 2004»
16 years 2 months ago
Kernel k-means: spectral clustering and normalized cuts
Kernel k-means and spectral clustering have both been used to identify clusters that are non-linearly separable in input space. Despite significant research, these methods have re...
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
KDD
2012
ACM
247views Data Mining» more  KDD 2012»
13 years 4 months ago
Integrating meta-path selection with user-guided object clustering in heterogeneous information networks
Real-world, multiple-typed objects are often interconnected, forming heterogeneous information networks. A major challenge for link-based clustering in such networks is its potent...
Yizhou Sun, Brandon Norick, Jiawei Han, Xifeng Yan...
120
Voted
MICAI
2007
Springer
15 years 8 months ago
Fuzzifying Clustering Algorithms: The Case Study of MajorClust
Among various document clustering algorithms that have been proposed so far, the most useful are those that automatically reveal the number of clusters and assign each target docum...
Eugene Levner, David Pinto, Paolo Rosso, David Alc...
HICSS
2002
IEEE
212views Biometrics» more  HICSS 2002»
15 years 6 months ago
Connectivity-Based k-Hop Clustering in Wireless Networks
Abstract. In this paper we describe several new clustering algorithms for nodes in a mobile ad hoc network. The main contribution is to generalize the cluster definition and forma...
Geng Chen, Fabian Garcia Nocetti, Julio Solano-Gon...
ESANN
2008
15 years 3 months ago
Clustering of Self-Organizing Map
Abstract. In this paper, we present a new similarity measure for a clustering self-organizing map which will be reached using a new approach of hierarchical clustering. (1) The sim...
Hanane Azzag, Mustapha Lebbah