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» A Support Vector Clustering Method
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KDD
2002
ACM
166views Data Mining» more  KDD 2002»
16 years 3 months ago
Frequent term-based text clustering
Text clustering methods can be used to structure large sets of text or hypertext documents. The well-known methods of text clustering, however, do not really address the special p...
Florian Beil, Martin Ester, Xiaowei Xu
ICPR
2008
IEEE
16 years 4 months ago
K-means clustering of proportional data using L1 distance
We present a new L1-distance-based k-means clustering algorithm to address the challenge of clustering high-dimensional proportional vectors. The new algorithm explicitly incorpor...
Bonnie K. Ray, Hisashi Kashima, Jianying Hu, Monin...
CEC
2005
IEEE
15 years 9 months ago
Multiobjective clustering around medoids
Abstract- The large majority of existing clustering algorithms are centered around the notion of a feature, that is, individual data items are represented by their intrinsic proper...
Julia Handl, Joshua D. Knowles
ESANN
1997
15 years 4 months ago
Kohonen maps versus vector quantization for data analysis
Besides their topological properties, Kohonen maps are often used for vector quantization only. These auto-organised networks are often compared to other standard and/or adaptive v...
Eric de Bodt, Michel Verleysen, Marie Cottrell
APVIS
2010
15 years 4 months ago
A sketch-based interface for classifying and visualizing vector fields
In flow visualization, field lines are often used to convey both global and local structure and movement of the flow. One challenge is to find and classify the representative fiel...
Jishang Wei, Chaoli Wang, Hongfeng Yu, Kwan-Liu Ma