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» Clustering with Lower Bound on Similarity
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SIGMOD
2007
ACM
186views Database» more  SIGMOD 2007»
15 years 9 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
14 years 11 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
85
Voted
SLS
2009
Springer
243views Algorithms» more  SLS 2009»
15 years 4 months 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 1 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
89
Voted
IDA
2003
Springer
15 years 2 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...