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EDBT
2004
ACM
142views Database» more  EDBT 2004»
14 years 9 months ago
Iterative Incremental Clustering of Time Series
We present a novel anytime version of partitional clustering algorithm, such as k-Means and EM, for time series. The algorithm works by leveraging off the multi-resolution property...
Jessica Lin, Michail Vlachos, Eamonn J. Keogh, Dim...
DASFAA
2008
IEEE
150views Database» more  DASFAA 2008»
14 years 3 months ago
Approximate Clustering of Time Series Using Compact Model-Based Descriptions
Clustering time series is usually limited by the fact that the length of the time series has a significantly negative influence on the runtime. On the other hand, approximative c...
Hans-Peter Kriegel, Peer Kröger, Alexey Pryak...
ICPR
2008
IEEE
14 years 3 months ago
Dual clustering for categorization of action sequences
This paper proposes a novel algorithm for categorization of action video sequences using unsupervised dual clustering. Given a video database, we extract motion information of act...
Joanna Cheng, Liang Wang, Christopher Leckie
VLDB
2001
ACM
104views Database» more  VLDB 2001»
14 years 1 months ago
Cache Fusion: Extending Shared-Disk Clusters with Shared Caches
Cache Fusion TM is a fundamental component of Oracle’s Real Application Cluster configuration, a shared-cache clustered-database architecture that transparently extends databas...
Tirthankar Lahiri, Vinay Srihari, Wilson Chan, N. ...
ICDE
2004
IEEE
120views Database» more  ICDE 2004»
14 years 10 months ago
Substructure Clustering on Sequential 3d Object Datasets
In this paper, we will look at substructure clustering of sequential 3d objects. A sequential 3d object is a set of points located in a three dimensional space that are linked up ...
Zhenqiang Tan, Anthony K. H. Tung