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» PGAC: A Parallel Genetic Algorithm for Data Clustering
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WWW
2011
ACM
13 years 4 months ago
Counting triangles and the curse of the last reducer
The clustering coefficient of a node in a social network is a fundamental measure that quantifies how tightly-knit the community is around the node. Its computation can be reduce...
Siddharth Suri, Sergei Vassilvitskii
DAC
2001
ACM
14 years 10 months ago
High-Quality Operation Binding for Clustered VLIW Datapaths
Clustering is an effective method to increase the available parallelism in VLIW datapaths without incurring severe penalties associated with large number of register file ports. E...
Viktor S. Lapinskii, Margarida F. Jacome, Gustavo ...
ISSAC
2007
Springer
107views Mathematics» more  ISSAC 2007»
14 years 3 months ago
A disk-based parallel implementation for direct condensation of large permutation modules
Through the use of a new disk-based method for enumerating very large orbits, condensation for orbits with tens of billions of elements can be performed. The algorithm is novel in...
Eric Robinson, Jürgen Müller 0004, Gene ...
CCGRID
2007
IEEE
14 years 3 months ago
A Service-Oriented System to Support Data Integration on Data Grids
Data Grids provide transparent access to heterogeneous and autonomous data resources. The main contribution of this paper is the presentation of a data sharing system that (i) is ...
Anastasios Gounaris, Carmela Comito, Rizos Sakella...
ADMA
2009
Springer
145views Data Mining» more  ADMA 2009»
14 years 3 months ago
A Framework for Multi-Objective Clustering and Its Application to Co-Location Mining
The goal of multi-objective clustering (MOC) is to decompose a dataset into similar groups maximizing multiple objectives in parallel. In this paper, we provide a methodology, arch...
Rachsuda Jiamthapthaksin, Christoph F. Eick, Ricar...