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ISMIR
2004
Springer
108views Music» more  ISMIR 2004»
16 years 1 days ago
Clustering Symbolic Music Using Paradigmatic and Surface Level Analyses
In this paper, we describe a novel automatic cluster analysis method for symbolic music. The method contains both a surface level and a paradigmatic level analysing block and work...
Anna Pienimäki, Kjell Lemström
TKDE
2002
127views more  TKDE 2002»
15 years 6 months ago
Efficient Join-Index-Based Spatial-Join Processing: A Clustering Approach
A join-index is a data structure used for processing join queries in databases. Join-indices use precomputation techniques to speed up online query processing and are useful for da...
Shashi Shekhar, Chang-Tien Lu, Sanjay Chawla, Siva...
BMCBI
2008
143views more  BMCBI 2008»
15 years 6 months ago
Gene identification and protein classification in microbial metagenomic sequence data via incremental clustering
Background: The identification and study of proteins from metagenomic datasets can shed light on the roles and interactions of the source organisms in their communities. However, ...
Shibu Yooseph, Weizhong Li, Granger G. Sutton
ML
2010
ACM
127views Machine Learning» more  ML 2010»
15 years 5 months ago
Stability and model selection in k-means clustering
Abstract Clustering Stability methods are a family of widely used model selection techniques for data clustering. Their unifying theme is that an appropriate model should result in...
Ohad Shamir, Naftali Tishby
CASES
2003
ACM
15 years 12 months ago
Clustered calculation of worst-case execution times
Knowing the Worst-Case Execution Time (WCET) of a program is necessary when designing and verifying real-time systems. A correct WCET analysis method must take into account the po...
Andreas Ermedahl, Friedhelm Stappert, Jakob Engblo...