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DATAMINE
2006
224views more  DATAMINE 2006»
14 years 9 months ago
Characteristic-Based Clustering for Time Series Data
With the growing importance of time series clustering research, particularly for similarity searches amongst long time series such as those arising in medicine or finance, it is cr...
Xiaozhe Wang, Kate A. Smith, Rob J. Hyndman
DCOSS
2005
Springer
15 years 3 months ago
Distributed Energy-Efficient Hierarchical Clustering for Wireless Sensor Networks
Abstract: Since nodes in a sensor network have limited energy, prolonging the network lifetime and improving scalability become important. In this paper, we propose a distributed w...
Ping Ding, JoAnne Holliday, Aslihan Celik
JSS
2007
121views more  JSS 2007»
14 years 9 months ago
Opportunistic prioritised clustering framework for improving OODBMS performance
In object oriented database management systems, clustering has proven to be one of the most effective performance enhancement techniques. Existing clustering algorithms are mainly...
Zhen He, Richard Lai, Alonso Marquez, Stephen Blac...
IJCAI
1997
14 years 11 months ago
High Performance ATP Systems by Combining Several AI Methods
We present a design for an automated theorem prover that controls its search based on ideas from several areas of artificial intelligence (AI). The combination of case-based reaso...
Jörg Denzinger, Marc Fuchs, Matthias Fuchs
ICCV
2005
IEEE
15 years 11 months ago
Robust Path-Based Spectral Clustering with Application to Image Segmentation
Spectral clustering and path-based clustering are two recently developed clustering approaches that have delivered impressive results in a number of challenging clustering tasks. ...
Hong Chang, Dit-Yan Yeung