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SPIRE
2005
Springer
14 years 3 months ago
Counting Lumps in Word Space: Density as a Measure of Corpus Homogeneity
This paper introduces a measure of corpus homogeneity that indicates the amount of topical dispersion in a corpus. The measure is based on the density of neighborhoods in semantic ...
Magnus Sahlgren, Jussi Karlgren
KDD
2004
ACM
190views Data Mining» more  KDD 2004»
14 years 10 months ago
Kernel k-means: spectral clustering and normalized cuts
Kernel k-means and spectral clustering have both been used to identify clusters that are non-linearly separable in input space. Despite significant research, these methods have re...
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
SDM
2009
SIAM
152views Data Mining» more  SDM 2009»
14 years 7 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
ICDM
2007
IEEE
159views Data Mining» more  ICDM 2007»
14 years 4 months ago
Incremental Subspace Clustering over Multiple Data Streams
Data streams are often locally correlated, with a subset of streams exhibiting coherent patterns over a subset of time points. Subspace clustering can discover clusters of objects...
Qi Zhang, Jinze Liu, Wei Wang 0010
ECAL
2005
Springer
14 years 3 months ago
On Convergence of Dynamic Cluster Formation in Multi-agent Networks
Efficient hierarchical architectures for reconfigurable and adaptive multi-agent networks require dynamic cluster formation among the set of nodes (agents). In the absence of cen...
Mikhail Prokopenko, Piraveenan Mahendra rajah, Pet...