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IJHPCA
2008
131views more  IJHPCA 2008»
14 years 9 months ago
De Novo Ultrascale Atomistic Simulations On High-End Parallel Supercomputers
We present a de novo hierarchical simulation framework for first-principles based predictive simulations of materials and their validation on high-end parallel supercomputers and ...
Aiichiro Nakano, Rajiv K. Kalia, Ken-ichi Nomura, ...
WADS
2009
Springer
256views Algorithms» more  WADS 2009»
15 years 4 months ago
Dynamic Graph Clustering Using Minimum-Cut Trees
Abstract. Algorithms or target functions for graph clustering rarely admit quality guarantees or optimal results in general. Based on properties of minimum-cut trees, a clustering ...
Robert Görke, Tanja Hartmann, Dorothea Wagner
PRL
2008
135views more  PRL 2008»
14 years 9 months ago
A hierarchical clustering algorithm based on the Hungarian method
We propose a novel hierarchical clustering algorithm for data-sets in which only pairwise distances between the points are provided. The classical Hungarian method is an efficient...
Jacob Goldberger, Tamir Tassa
SODA
2000
ACM
125views Algorithms» more  SODA 2000»
14 years 11 months ago
Approximation algorithms for projective clustering
We consider the following two instances of the projective clustering problem: Given a set
Pankaj K. Agarwal, Cecilia Magdalena Procopiuc
ESWA
2010
158views more  ESWA 2010»
14 years 7 months ago
Interval competitive agglomeration clustering algorithm
1 In this study, a novel robust clustering algorithm, robust interval competitive agglomeration (RICA) clustering algorithm, is proposed to overcome the problems of the outliers, t...
Jin-Tsong Jeng, Chen-Chia Chuang, Chin-Wang Tao