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» Distributed Approximation Algorithm for Resource Clustering
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APPT
2005
Springer
15 years 9 months ago
Principal Component Analysis for Distributed Data Sets with Updating
Identifying the patterns of large data sets is a key requirement in data mining. A powerful technique for this purpose is the principal component analysis (PCA). PCA-based clusteri...
Zheng-Jian Bai, Raymond H. Chan, Franklin T. Luk
COMSWARE
2006
IEEE
15 years 9 months ago
Resource management in heterogenous wireless networks with overlapping coverage
— Development in new radio technologies and increase in user demands are driving the deployment of a wide array of wireless networks, ranging from 802.11 networks in the local ar...
Bin Bin Chen, Mun Choon Chan
ICDCS
1999
IEEE
15 years 8 months ago
Imprecise Calendars: an Approach to Scheduling Computational Grids
We describe imprecise calendars, a way to organize and schedule clusters of nodes in a computation grid. Imprecise calendars permit the easy and efficient sharing of resources bet...
Jeffrey K. Hollingsworth, Songrit Maneewongvatana
APPROX
2007
Springer
67views Algorithms» more  APPROX 2007»
15 years 10 months ago
Maximum Gradient Embeddings and Monotone Clustering
abstract Manor Mendel1 and Assaf Naor2 1 The Open University of Israel 2 Courant Institute Let (X, dX ) be an n-point metric space. We show that there exists a distribution D over ...
Manor Mendel, Assaf Naor
SIGMOD
2011
ACM
269views Database» more  SIGMOD 2011»
14 years 6 months ago
Advancing data clustering via projective clustering ensembles
Projective Clustering Ensembles (PCE) are a very recent advance in data clustering research which combines the two powerful tools of clustering ensembles and projective clustering...
Francesco Gullo, Carlotta Domeniconi, Andrea Tagar...