1971 search results - page 185 / 395 » A clustering method that uses lossy aggregation of data |
ISI
2002
Springer
13 years 9 months ago
2002
Springer
Dealing with large volumes of data, OLAP data cubes aggregated values are often spoiled by errors due to missing values in detailed data. This paper suggests to adjust aggregate an...
SAC
2005
ACM
14 years 2 months ago
2005
ACM
Using visualization techniques to assist conventional data mining tasks has attracted considerable interest in recent years. This paper addresses a challenging issue in the use of...
CVPR
2000
IEEE
14 years 1 months ago
2000
IEEE
We use cluster analysis as a unifying principle for problems from low, middle and high level vision. The clustering problem is viewed as graph partitioning, where nodes represent ...
NIPS
2001
13 years 10 months ago
2001
The popular K-means clustering partitions a data set by minimizing a sum-of-squares cost function. A coordinate descend method is then used to nd local minima. In this paper we sh...
BMCBI
2006
13 years 9 months ago
2006
Background: Feature selection is an approach to overcome the 'curse of dimensionality' in complex researches like disease classification using microarrays. Statistical m...