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» Robust Hierarchical Clustering
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TIFS
2008
137views more  TIFS 2008»
13 years 7 months ago
Hierarchical Watermarking of Semiregular Meshes Based on Wavelet Transform
This paper presents a hierarchical watermarking framework for semiregular meshes. Three blind watermarks are inserted in a semiregular mesh with different purposes: a geometrically...
Kai Wang, Guillaume Lavoué, Florence Denis,...
KDD
2004
ACM
150views Data Mining» more  KDD 2004»
14 years 8 months ago
A framework for ontology-driven subspace clustering
Traditional clustering is a descriptive task that seeks to identify homogeneous groups of objects based on the values of their attributes. While domain knowledge is always the bes...
Jinze Liu, Wei Wang 0010, Jiong Yang
PAKDD
2005
ACM
142views Data Mining» more  PAKDD 2005»
14 years 1 months ago
Dynamic Cluster Formation Using Level Set Methods
Density-based clustering has the advantages for (i) allowing arbitrary shape of cluster and (ii) not requiring the number of clusters as input. However, when clusters touch each o...
Andy M. Yip, Chris H. Q. Ding, Tony F. Chan
ICPR
2008
IEEE
14 years 9 months ago
Geodesic K-means clustering
We introduce a class of geodesic distances and extend the K-means clustering algorithm to employ this distance metric. Empirically, we demonstrate that our geodesic K-means algori...
Arian Maleki, Nima Asgharbeygi
EUC
2005
Springer
14 years 1 months ago
Neighbor Node Discovery Algorithm for Energy-Efficient Clustering in Ubiquitious Sensor Networks
Clustering algorithm is an essential element to implement a hierarchical routing protocol, especially for a large-scale wireless sensor network. In this paper, we propose a new typ...
Ji Young Choi, Chung Gu Kang, Yong-Suk Kim, Kyeong...