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PKDD
2001
Springer
114views Data Mining» more  PKDD 2001»
13 years 11 months ago
A Study on the Hierarchical Data Clustering Algorithm Based on Gravity Theory
This paper discusses the clustering quality and complexities of the hierarchical data clustering algorithm based on gravity theory. The gravitybased clustering algorithm simulates ...
Yen-Jen Oyang, Chien-Yu Chen, Tsui-Wei Yang
CLUSTER
2009
IEEE
14 years 2 months ago
GPU clusters for high-performance computing
—Large-scale GPU clusters are gaining popularity in the scientific computing community. However, their deployment and production use are associated with a number of new challenge...
Volodymyr V. Kindratenko, Jeremy Enos, Guochun Shi...
KDD
2002
ACM
166views Data Mining» more  KDD 2002»
14 years 7 months ago
Frequent term-based text clustering
Text clustering methods can be used to structure large sets of text or hypertext documents. The well-known methods of text clustering, however, do not really address the special p...
Florian Beil, Martin Ester, Xiaowei Xu
AINA
2008
IEEE
14 years 1 months ago
Associating Faces and Names in Japanese Photo News Articles on the Web
We propose a system which extracts faces and person names from news articles with photos on the Web and associates them automatically. The system detects face images in news photo...
Akio Kitahara, Taichi Joutou, Keiji Yanai
ICCV
2005
IEEE
14 years 1 months ago
A Unifying Approach to Hard and Probabilistic Clustering
We derive the clustering problem from first principles showing that the goal of achieving a probabilistic, or ”hard”, multi class clustering result is equivalent to the algeb...
Ron Zass, Amnon Shashua