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» Comparisons Between Data Clustering Algorithms
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ICC
2007
IEEE
14 years 3 months ago
Adaptive Beam Clustering Optical Wireless System for An Indoor Channel
: The separating distance between the transceivers is one of the main factors that affect the quality of the received optical signal as the receiver changes locations in an optical...
Jamal M. Alattar, Jaafar M. H. Elmirghani
COMPGEOM
2011
ACM
13 years 19 days ago
Persistence-based clustering in riemannian manifolds
We present a clustering scheme that combines a mode-seeking phase with a cluster merging phase in the corresponding density map. While mode detection is done by a standard graph-b...
Frédéric Chazal, Leonidas J. Guibas,...
TKDE
2012
270views Formal Methods» more  TKDE 2012»
11 years 11 months ago
Low-Rank Kernel Matrix Factorization for Large-Scale Evolutionary Clustering
—Traditional clustering techniques are inapplicable to problems where the relationships between data points evolve over time. Not only is it important for the clustering algorith...
Lijun Wang, Manjeet Rege, Ming Dong, Yongsheng Din...
KES
2004
Springer
14 years 2 months ago
FIT: A Fast Algorithm for Discovering Frequent Itemsets in Large Databases
Association rule mining is an important data mining problem that has been studied extensively. In this paper, a simple but Fast algorithm for Intersecting attribute lists using a ...
Jun Luo, Sanguthevar Rajasekaran
TSP
2008
121views more  TSP 2008»
13 years 9 months ago
Stochastic Analysis of the LMS Algorithm for System Identification With Subspace Inputs
This paper studies the behavior of the low-rank least mean squares (LMS) adaptive algorithm for the general case in which the input transformation may not capture the exact input s...
Neil J. Bershad, José Carlos M. Bermudez, J...