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SDM
2009
SIAM
152views Data Mining» more  SDM 2009»
14 years 5 months 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
SIGKDD
2010
126views more  SIGKDD 2010»
13 years 3 months ago
MultiClust 2010: discovering, summarizing and using multiple clusterings
Traditional clustering focuses on finding a single best clustering solution from data. However, given a single data set, one could interpret it in different ways. This is particul...
Xiaoli Z. Fern, Ian Davidson, Jennifer G. Dy
TEC
2010
171views more  TEC 2010»
13 years 3 months ago
A Clustering Particle Swarm Optimizer for Locating and Tracking Multiple Optima in Dynamic Environments
In the real world, many optimization problems are dynamic. This requires an optimization algorithm to not only find the global optimal solution under a specific environment but als...
Shengxiang Yang, Changhe Li
OPODIS
2010
13 years 6 months ago
Self-stabilizing (k, r)-Clustering in Wireless Ad-hoc Networks with Multiple Paths
Abstract. Wireless Ad-hoc networks are distributed systems that often reside in error-prone environments. Self-stabilization lets the system recover autonomously from an arbitrary ...
Andreas Larsson, Philippas Tsigas
CVPR
2011
IEEE
13 years 3 months ago
Contour-Based Joint Clustering of Multiple Segmentations
We present an unsupervised, shape-based method for joint clustering of multiple image segmentations. Given two or more closely-related images, such as nearby frames in a video sequ...
Daniel Glasner, Shiv N. Vitaladevuni and Ronen Bas...