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» Algorithms for Clustering Data
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ICDM
2010
IEEE
232views Data Mining» more  ICDM 2010»
15 years 2 months ago
gSkeletonClu: Density-Based Network Clustering via Structure-Connected Tree Division or Agglomeration
Community detection is an important task for mining the structure and function of complex networks. Many pervious approaches are difficult to detect communities with arbitrary size...
Heli Sun, Jianbin Huang, Jiawei Han, Hongbo Deng, ...
SDM
2007
SIAM
118views Data Mining» more  SDM 2007»
15 years 6 months ago
On Privacy-Preservation of Text and Sparse Binary Data with Sketches
In recent years, privacy preserving data mining has become very important because of the proliferation of large amounts of data on the internet. Many data sets are inherently high...
Charu C. Aggarwal, Philip S. Yu
NN
2002
Springer
226views Neural Networks» more  NN 2002»
15 years 4 months ago
Data visualisation and manifold mapping using the ViSOM
The self-organising map (SOM) has been successfully employed as a nonparametric method for dimensionality reduction and data visualisation. However, for visualisation the SOM requ...
Hujun Yin
MMSEC
2006
ACM
220views Multimedia» more  MMSEC 2006»
15 years 11 months ago
Robust blind watermarking mechanism for motion data streams
The commercial reuse of 3D motion capture (Mocap) data in animation and life sciences raises issues with respect to its copyright. In order to improvise content protection of Moca...
Parag Agarwal, Ketaki Adi, B. Prabhakaran
MICCAI
2008
Springer
16 years 6 months ago
Discovering Modes of an Image Population through Mixture Modeling
Abstract. We present iCluster, a fast and efficient algorithm that clusters a set of images while co-registering them using a parameterized, nonlinear transformation model. The out...
Mert R. Sabuncu, Serdar K. Balci, Polina Golland