1971 search results - page 115 / 395 » A clustering method that uses lossy aggregation of data |
APBC
2004
13 years 10 months ago
2004
This paper introduces a novel method for minimum number of gene (feature) selection for a classification problem based on gene expression data with an objective function to maximi...
PR
2007
13 years 8 months ago
2007
We introduce a new graph cut for clustering which we call the Information Cut. It is derived using Parzen windowing to estimate an information theoretic distance measure between p...
VLDB
1998
ACM
14 years 1 months ago
1998
ACM
Many applications require the management of spatial data. Clustering large spatial databases is an important problem which tries to find the densely populated regions in the featu...
KDD
2007
ACM
14 years 9 months ago
2007
ACM
Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...
PR
2008
13 years 9 months ago
2008
3D modelling finds a wide range of applications in industry. However, due to the presence of surface scanning noise, accumulative registration errors, and improper data fusion, re...