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HPCC
2005
Springer
15 years 4 months ago
A Coarse Grained Parallel Algorithm for Closest Larger Ancestors in Trees with Applications to Single Link Clustering
Hierarchical clustering methods are important in many data mining and pattern recognition tasks. In this paper we present an efficient coarse grained parallel algorithm for Single...
Albert Chan, Chunmei Gao, Andrew Rau-Chaplin
SDM
2007
SIAM
117views Data Mining» more  SDM 2007»
15 years 17 days ago
Discriminating Subsequence Discovery for Sequence Clustering
In this paper, we explore the discriminating subsequencebased clustering problem. First, several effective optimization techniques are proposed to accelerate the sequence mining p...
Jianyong Wang, Yuzhou Zhang, Lizhu Zhou, George Ka...
BC
2006
102views more  BC 2006»
14 years 11 months ago
The Optimal Human Ventral Stream from Estimates of the Complexity of Visual Objects
The part of the primate visual cortex responsible for the recognition of objects is parcelled into about a dozen areas organized somewhat hierarchically (the region is called the v...
Mark A. Changizi
PAKDD
2007
ACM
184views Data Mining» more  PAKDD 2007»
15 years 5 months ago
Exploring Group Moving Pattern for an Energy-Constrained Object Tracking Sensor Network
In this paper, we investigate and utilize the characteristic of the group movement of objects to achieve energy conservation in the inherently resource-constrained wireless object ...
Hsiao-Ping Tsai, De-Nian Yang, Wen-Chih Peng, Ming...
PRL
1998
91views more  PRL 1998»
14 years 10 months ago
Genetic operators for hierarchical graph clustering
In this paper we propose an encoding scheme and ad hoc operators for a genetic approach to hierarchical graph clustering. Given a connected graph whose vertices correspond to poin...
Stefano Rizzi