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» Distributed Approximation Algorithm for Resource Clustering
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APPT
2005
Springer
15 years 7 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 8 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 6 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 8 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 5 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...