Spatial Multidimensional Sequence Clustering

13 years 11 months ago
Spatial Multidimensional Sequence Clustering
Measurements at different time points and positions in large temporal or spatial databases requires effective and efficient data mining techniques. For several parallel measurements, finding clusters of arbitrary length and number of attributes, poses additional challenges. We present a novel algorithm capable of finding parallel clusters in different structural quality parameter values for river sequences used by hydrologists to develop measures for river quality improvements.
Ira Assent, Ralph Krieger, Boris Glavic, Thomas Se
Added 11 Jun 2010
Updated 11 Jun 2010
Type Conference
Year 2006
Where ICDM
Authors Ira Assent, Ralph Krieger, Boris Glavic, Thomas Seidl
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