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EDBT
2004
ACM
142views Database» more  EDBT 2004»
16 years 1 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»
15 years 8 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
15 years 8 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»
15 years 6 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»
16 years 3 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