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» A Method for Dynamic Clustering of Data
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ICML
2005
IEEE
16 years 7 months ago
Large margin non-linear embedding
It is common in classification methods to first place data in a vector space and then learn decision boundaries. We propose reversing that process: for fixed decision boundaries, ...
Alexander Zien, Joaquin Quiñonero Candela
GECCO
2007
Springer
210views Optimization» more  GECCO 2007»
16 years 1 months ago
Mining breast cancer data with XCS
In this paper, we describe the use of a modern learning classifier system to a data mining task. In particular, in collaboration with a medical specialist, we apply XCS to a prima...
Faten Kharbat, Larry Bull, Mohammed Odeh
SIGMOD
2008
ACM
157views Database» more  SIGMOD 2008»
16 years 7 months ago
CRD: fast co-clustering on large datasets utilizing sampling-based matrix decomposition
The problem of simultaneously clustering columns and rows (coclustering) arises in important applications, such as text data mining, microarray analysis, and recommendation system...
Feng Pan, Xiang Zhang, Wei Wang 0010
IV
2000
IEEE
221views Visualization» more  IV 2000»
15 years 11 months ago
Animated Texture Alpha-Masks for Flow Visualization
A method of using a moving texture alpha-mask to represent scientific data is described, for the purpose of visualizing continuous fluid dynamics fields. The method combines strea...
Ian Curington
BMVC
1997
15 years 8 months ago
Real-time Dynamic Deformable Meshes for Volumetric Segmentation and Visualisation
This paper presents a surface segmentation method which uses a simulated inflating balloon model to segment surface structure from volumetric data using a triangular mesh. The mod...
Richard Bowden, T. A. Mitchell, M. Sahardi