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» Clustering with Lower Bound on Similarity
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SIGMOD
2007
ACM
186views Database» more  SIGMOD 2007»
16 years 6 months ago
An efficient and accurate method for evaluating time series similarity
A variety of techniques currently exist for measuring the similarity between time series datasets. Of these techniques, the methods whose matching criteria is bounded by a specifi...
Michael D. Morse, Jignesh M. Patel
CIBB
2008
15 years 8 months ago
Unsupervised Stability-Based Ensembles to Discover Reliable Structures in Complex Bio-molecular Data
The assessment of the reliability of clusters discovered in bio-molecular data is a central issue in several bioinformatics problems. Several methods based on the concept of stabil...
Alberto Bertoni, Giorgio Valentini
SLS
2009
Springer
243views Algorithms» more  SLS 2009»
16 years 18 days ago
Estimating Bounds on Expected Plateau Size in MAXSAT Problems
Stochastic local search algorithms can now successfully solve MAXSAT problems with thousands of variables or more. A key to this success is how effectively the search can navigate...
Andrew M. Sutton, Adele E. Howe, L. Darrell Whitle...
INFOCOM
1995
IEEE
15 years 9 months ago
A Service with Bounded Degradation in Quality-of-Service Networks
Many network applications that require Quality-ofService QoS support, such as transmission of digital voice and video, tolerate a certain level of service degradation. In this s...
Jörg Liebeherr, Dongwei Liao
IDA
2003
Springer
15 years 11 months ago
Fuzzy Clustering Based Segmentation of Time-Series
The segmentation of time-series is a constrained clustering problem: the data points should be grouped by their similarity, but with the constraint that all points in a cluster mus...
János Abonyi, Balazs Feil, Sandor Z. N&eacu...