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ALT
2008
Springer
16 years 3 months ago
Exploiting Cluster-Structure to Predict the Labeling of a Graph
Abstract. The nearest neighbor and the perceptron algorithms are intuitively motivated by the aims to exploit the “cluster” and “linear separation” structure of the data to...
Mark Herbster
ISMIR
2004
Springer
108views Music» more  ISMIR 2004»
15 years 12 months 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
DEXAW
2010
IEEE
231views Database» more  DEXAW 2010»
15 years 7 months ago
Extracting User Interests from Search Query Logs: A Clustering Approach
-- This paper proposes to enhance search query log analysis by taking into account the semantic properties of query terms. We first describe a method for extracting a global semant...
Lyes Limam, David Coquil, Harald Kosch, Lionel Bru...
CLUSTER
2006
IEEE
15 years 10 months ago
STAS: A Scalability Testing and Analysis System
Scalability is a crucial factor in performance evaluation and analysis of parallel and distributed systems. Much effort has been devoted to scalability research and several metric...
Yong Chen, Xian-He Sun
NN
2006
Springer
127views Neural Networks» more  NN 2006»
15 years 6 months ago
Assessing self organizing maps via contiguity analysis
- Contiguity Analysis is a straightforward generalization of Linear Discriminant Analysis in which the partition of elements is replaced by a more general graph structure. Applied ...
Ludovic Lebart