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ICDM
2009
IEEE
153views Data Mining» more  ICDM 2009»
13 years 7 months ago
A New Clustering Algorithm Based on Regions of Influence with Self-Detection of the Best Number of Clusters
Clustering methods usually require to know the best number of clusters, or another parameter, e.g. a threshold, which is not ever easy to provide. This paper proposes a new graph-b...
Fabrice Muhlenbach, Stéphane Lallich
PKDD
2000
Springer
144views Data Mining» more  PKDD 2000»
14 years 23 days ago
Fast Hierarchical Clustering Based on Compressed Data and OPTICS
: One way to scale up clustering algorithms is to squash the data by some intelligent compression technique and cluster only the compressed data records. Such compressed data recor...
Markus M. Breunig, Hans-Peter Kriegel, Jörg S...
BMVC
2002
13 years 11 months ago
Alignment using Spectral Clusters
This paper describes a hierarchical spectral method for the correspondence matching of point-sets. Conventional spectral methods for correspondence matching are notoriously suscep...
Marco Carcassoni, Edwin R. Hancock
EDM
2010
129views Data Mining» more  EDM 2010»
13 years 10 months ago
Skill Set Profile Clustering: The Empty K-Means Algorithm with Automatic Specification of Starting Cluster Centers
While students' skill set profiles can be estimated with formal cognitive diagnosis models [8], their computational complexity makes simpler proxy skill estimates attractive [...
Rebecca Nugent, Nema Dean, Elizabeth Ayers
ICDAR
2007
IEEE
14 years 3 months ago
Generating Copybooks from Consistent Handwriting Styles
The automatic extraction of handwriting styles is an important process that can be used for various applications in the processing of handwriting. We propose a novel method that e...
Ralph Niels, Louis Vuurpijl