5 search results - page 1 / 1 » Multistage K-Means Clustering for Scenario Tree Construction |
INFORMATICALT
2010
12 years 11 months ago
2010
Abstract. In stochastic programming and decision analysis, an important issue consists in the approximate representation of the multidimensional stochastic underlying process in th...
TJS
2010
13 years 3 months ago
2010
This paper presents a novel host-based combinatorial method based on k-Means clustering and ID3 decision tree learning algorithms for unsupervised classification of anomalous and ...
WCE
2007
13 years 6 months ago
2007
—Multistage stochastic programs are effective for solving long-term planning problems under uncertainty. Such programs are usually based on scenario generation model about future...
ANOR
2007
13 years 5 months ago
2007
The quality of multi-stage stochastic optimization models as they appear in asset liability management, energy planning, transportation, supply chain management, and other applicat...
VIS
2004
IEEE
14 years 6 months ago
2004
IEEE
Typically there is a high coherence in data values between neighboring time steps in an iterative scientific software simulation; this characteristic similarly contributes to a co...