ICML
2010
IEEE
13 years 6 months ago
2010
IEEE
Variable selection for cluster analysis is a difficult problem. The difficulty originates not only from the lack of class information but also the fact that high-dimensional data ...
VIP
2000
13 years 6 months ago
2000
Quantitative PET studies usually require invasive blood sampling from a peripheral artery to obtain an input function for accurate modelling. However, blood sampling is impractica...
SCANGIS
2001
13 years 6 months ago
2001
Automatic classification of relief attributes into meaningful morphological units has a great potential within the field of geomorphology. When applying common classification algor...
CHI
2008
ACM
13 years 7 months ago
2008
ACM
We present a large-scale analysis of the content of weblogs dating back to the release of the Blogger program in 1999. Over one million blogs were analyzed from their conception t...
SIGMOD
1999
ACM
13 years 9 months ago
1999
ACM
Cluster analysis is a primary method for database mining. It is either used as a stand-alone tool to get insight into the distribution of a data set, e.g. to focus further analysi...
HICSS
2003
IEEE
13 years 10 months ago
2003
IEEE
In this paper we propose a new two-level methodology for assessing countries’/companies’ economic/financial performance. The methodology is based on two major techniques of gr...
ICCSA
2005
Springer
13 years 10 months ago
2005
Springer
In this paper, we propose a new clustering procedure for high dimensional microarray data. Major difficulty in cluster analysis of microarray data is that the number of samples to ...
IWANN
2009
Springer
13 years 11 months ago
2009
Springer
Cluster analysis is a technique used in a variety of fields. There are currently various algorithms used for grouping elements that are based on different methods including partiti...
ANNPR
2010
Springer
13 years 11 months ago
2010
Springer
Abstract. A cluster analysis using SOM has been performed on morphological data derived from pyramidal neurons of the somatosensory cortex of normal and transgenic mice.