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» Finding Groups in Data: Cluster Analysis with Ants
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SIGMOD
2008
ACM
107views Database» more  SIGMOD 2008»
14 years 7 months ago
Outlier-robust clustering using independent components
How can we efficiently find a clustering, i.e. a concise description of the cluster structure, of a given data set which contains an unknown number of clusters of different shape ...
Christian Böhm, Christos Faloutsos, Claudia P...
EEE
2004
IEEE
13 years 10 months ago
A Methodology to Find Web Site Keywords
For many companies and/or institutions it is no longer sufficient to have a web site and high quality products or services. What in many cases makes the difference between success...
Juan D. Velásquez, Richard Weber, Hiroshi Y...
ICDM
2006
IEEE
135views Data Mining» more  ICDM 2006»
14 years 24 days ago
SAXually Explicit Images: Finding Unusual Shapes
Among the visual features of multimedia content, shape is of particular interest because humans can often recognize objects solely on the basis of shape. Over the past three decad...
Li Wei, Eamonn J. Keogh, Xiaopeng Xi
AUSDM
2008
Springer
212views Data Mining» more  AUSDM 2008»
13 years 8 months ago
Clustering and Classification of Maintenance Logs using Text Data Mining
Spreadsheets applications allow data to be stored with low development overheads, but also with low data quality. Reporting on data from such sources is difficult using traditiona...
Brett Edwards, Michael Zatorsky, Richi Nayak
IDA
2007
Springer
13 years 6 months ago
An unsupervised clustering approach for leukaemia classification based on DNA micro-arrays data
: DNA micro-arrays provide thousands of genomic expressions on the same subject. A main issue is then to find the subset of genes whose degeneration is responsible of a certain typ...
Simone Garatti, Sergio Bittanti, Diego Liberati, A...