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ICDM
2010
IEEE
216views Data Mining» more  ICDM 2010»
15 years 5 months ago
K-AP: Generating Specified K Clusters by Efficient Affinity Propagation
Abstract--The Affinity Propagation (AP) clustering algorithm proposed by Frey and Dueck (2007) provides an understandable, nearly optimal summary of a data set. However, it suffers...
Xiangliang Zhang, Wei Wang, Kjetil Nørv&ari...
233
Voted
KDD
2005
ACM
157views Data Mining» more  KDD 2005»
16 years 8 months ago
A fast kernel-based multilevel algorithm for graph clustering
Graph clustering (also called graph partitioning) -- clustering the nodes of a graph -- is an important problem in diverse data mining applications. Traditional approaches involve...
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
KDD
2012
ACM
247views Data Mining» more  KDD 2012»
13 years 10 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...
194
Voted
IJCNN
2000
IEEE
15 years 12 months ago
A SOM Based Cluster Visualization and Its Application for False Coloring
The self-organizing map SOM is widely used as a data visualization method in various engineering applications. It performs a non-linear mapping from a high-dimensional data spac...
Johan Himberg
WWW
2010
ACM
15 years 11 months ago
Hierarchical cluster visualization in web mapping systems
This paper presents a technique for visualizing large spatial data sets in Web Mapping Systems (WMS). The technique creates a hierarchical clustering tree, which is subsequently u...
Jean-Yves Delort