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» Analysis of Agglomerative Clustering
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PKDD
1999
Springer
130views Data Mining» more  PKDD 1999»
15 years 10 months ago
OPTICS-OF: Identifying Local Outliers
: For many KDD applications finding the outliers, i.e. the rare events, is more interesting and useful than finding the common cases, e.g. detecting criminal activities in E-commer...
Markus M. Breunig, Hans-Peter Kriegel, Raymond T. ...
IDEAL
2009
Springer
16 years 28 days ago
STORM - A Novel Information Fusion and Cluster Interpretation Technique
Abstract. Analysis of data without labels is commonly subject to scrutiny by unsupervised machine learning techniques. Such techniques provide more meaningful representations, usef...
Jan Feyereisl, Uwe Aickelin
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 11 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...