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» An Experiment with Distance Measures for Clustering
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IS
2008
14 years 9 months ago
A dimensionality reduction technique for efficient time series similarity analysis
We propose a dimensionality reduction technique for time series analysis that significantly improves the efficiency and accuracy of similarity searches. In contrast to piecewise c...
Qiang Wang, Vasileios Megalooikonomou
CIVR
2005
Springer
102views Image Analysis» more  CIVR 2005»
15 years 3 months ago
A Complete Keypics Experiment with Size Functions
Abstract. Keypics are graphical metadata intended for indexing of images on the Internet. They are conceived as hand-drawn sketches, not restricted to a definite set. An obvious d...
Andrea Cerri, Massimo Ferri, Daniela Giorgi
BMCBI
2007
175views more  BMCBI 2007»
14 years 10 months ago
CLUSS: Clustering of protein sequences based on a new similarity measure
Background: The rapid burgeoning of available protein data makes the use of clustering within families of proteins increasingly important. The challenge is to identify subfamilies...
Abdellali Kelil, Shengrui Wang, Ryszard Brzezinski...
ISMIR
2004
Springer
113views Music» more  ISMIR 2004»
15 years 3 months ago
Music Recommendation from Song Sets
We motivate the problem of music recommendation based solely on acoustics from groups of related songs or ‘song sets’. We propose four solutions which can be used with any aco...
Beth Logan
LREC
2008
120views Education» more  LREC 2008»
14 years 11 months ago
Division of Example Sentences Based on the Meaning of a Target Word Using Semi-Supervised Clustering
In this paper, we describe a system that divides example sentences (data set) into clusters, based on the meaning of the target word, using a semi-supervised clustering technique....
Hiroyuki Shinnou, Minoru Sasaki