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» Accelerated EM-based clustering of large data sets
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163
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KDD
2003
ACM
180views Data Mining» more  KDD 2003»
16 years 4 months ago
Classifying large data sets using SVMs with hierarchical clusters
Support vector machines (SVMs) have been promising methods for classification and regression analysis because of their solid mathematical foundations which convey several salient ...
Hwanjo Yu, Jiong Yang, Jiawei Han
160
Voted
ISVC
2009
Springer
15 years 10 months ago
Parallel 3D Image Segmentation of Large Data Sets on a GPU Cluster
In this paper, we propose an inherent parallel scheme for 3D image segmentation of large volume data on a GPU cluster. This method originates from an extended Lattice Boltzmann Mod...
Aaron Hagan, Ye Zhao
143
Voted
SIGMOD
2002
ACM
132views Database» more  SIGMOD 2002»
16 years 3 months ago
Clustering by pattern similarity in large data sets
Clustering is the process of grouping a set of objects into classes of similar objects. Although definitions of similarity vary from one clustering model to another, in most of th...
Haixun Wang, Wei Wang 0010, Jiong Yang, Philip S. ...
147
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VISUALIZATION
2003
IEEE
15 years 8 months ago
Accelerating Large Data Analysis by Exploiting Regularities
We present techniques for discovering and exploiting regularity in large curvilinear data sets. The data can be based on a single mesh or a mesh composed of multiple submeshes (al...
David Ellsworth, Patrick J. Moran
91
Voted
IDEAL
2004
Springer
15 years 9 months ago
DESCRY: A Density Based Clustering Algorithm for Very Large Data Sets
Fabrizio Angiulli, Clara Pizzuti, Massimo Ruffolo