18 search results - page 2 / 4 » Application of self-organizing maps to clustering of high-fr... |
HICSS
2003
IEEE
14 years 28 days 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...
WSOM
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. This paper presents a new methodology for missing value imputation in a database. The methodology combines the outputs of several Self-Organizing Maps in order to obtain ...
ACSW
2004
13 years 9 months ago
2004
This paper analyzes the clustering of trades on the Australian Stock Exchange (ASX) with respect to the trade direction variable. The ASX is a limit order market operating an elec...
IMSCCS
2006
IEEE
14 years 1 months ago
2006
IEEE
Background: DNA Microarray technology is an innovative methodology in experimental molecular biology, which has produced huge amounts of valuable data in the profile of gene expre...
KI
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. Prototype-based clustering algorithms such as the Self Organizing Map (SOM) or Neural Gas (NG) offer powerful tools for automated data inspection. The distribution of pr...