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130
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SDM
2009
SIAM
152views Data Mining» more  SDM 2009»
16 years 22 days ago
Multiple Kernel Clustering.
Maximum margin clustering (MMC) has recently attracted considerable interests in both the data mining and machine learning communities. It first projects data samples to a kernel...
Bin Zhao, James T. Kwok, Changshui Zhang
156
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GECCO
2007
Springer
209views Optimization» more  GECCO 2007»
15 years 9 months ago
Kernel based automatic clustering using modified particle swarm optimization algorithm
This paper introduces a method for clustering complex and linearly non-separable datasets, without any prior knowledge of the number of naturally occurring clusters. The proposed ...
Ajith Abraham, Swagatam Das, Amit Konar
117
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KSEM
2007
Springer
15 years 9 months ago
Knowledge Engineering Technique for Cluster Development
After the concept of industry cluster was tangibly applied in many countries, SMEs trended to link to each other to maintain their competitiveness in the market. The major key succ...
Pradorn Sureephong, Nopasit Chakpitak, Yacine Ouzr...
120
Voted
WACV
2005
IEEE
15 years 9 months ago
Image Segmentation by Unsupervised Sparse Clustering
In this paper, we present a novel solution of image segmentation based on positiveness by regarding the segmentation as one of the graph-theoretic clustering problems. On the cont...
Byoung-Ki Jeon, Yun-Beom Jung, Ki-Sang Hong
125
Voted
ECRTS
2003
IEEE
15 years 8 months ago
Fault-Tolerant Clock Synchronization for Embedded Distributed Multi-Cluster Systems
When time-triggered (TT) systems are to be deployed for large embedded real-time (RT) control systems in cars and airplanes, one way to overcome bandwidth limitations and achieve ...
Michael Paulitsch, Wilfried Steiner