Search Results - subject:"fuzzy clustering"

Bayesian Fuzzy Regression Analysis and Model Selection: Theory and Evidence

Feng, Hui; Giles, David E. - Department of Economics, University of Victoria - 2007

In this study we suggest a Bayesian approach to fuzzy clustering analysis – the Bayesian fuzzy regression. Bayesian …

Persistent link: https://www.econbiz.de/10005800930

Fuzzy modeling and bayesian inference network

STATE, Luminita; COCIANU, Catalina; STEFANESCU, Viorica; … - In: Informatica Economica XI (2007) 4, pp. 68-71

present guidelines in fuzzy modeling, fuzzy clustering and the design of Bayesian inference networks …

Persistent link: https://www.econbiz.de/10009416405

The analysis of the short-term power system load forecasting model based on the fuzzy clustering

Dudek, Grzegorz - In: Operations Research and Decisions 2 (2007), pp. 15-34

A model of the short-term power system load forecasting based on fuzzy clustering is presented. It can be classified as …

Persistent link: https://www.econbiz.de/10008777283

Mixture ensemble Kalman filters

Frei, Marco; Künsch, Hans R. - In: Computational Statistics & Data Analysis 58 (2013) C, pp. 127-138

A generic algorithmic framework for nonlinear ensemble filtering based on Gaussian mixtures and fuzzy clustering …

Persistent link: https://www.econbiz.de/10011056480

Random walk distances in data clustering and applications

Liu, Sijia; Matzavinos, Anastasios; Sethuraman, Sunder - In: Advances in Data Analysis and Classification 7 (2013) 1, pp. 83-108

In this paper, we develop a family of data clustering algorithms that combine the strengths of existing spectral approaches to clustering with various desirable properties of fuzzy methods. In particular, we show that the developed method “Fuzzy-RW,” outperforms other frequently used...

Persistent link: https://www.econbiz.de/10010995275

Assessment on agricultural drought vulnerability in the Yellow River basin based on a fuzzy clustering iterative model

Wu, Di; Yan, Deng-Hua; Yang, Gui-Yu; Wang, Xiao-Gang; … - In: Natural Hazards 67 (2013) 2, pp. 919-936

multi-layer and multi-index fuzzy clustering iterative method, which can better reveal the drought vulnerability (including … and states) in the Yellow River basin was investigated using a fuzzy clustering iterative model and visualized by using …

Persistent link: https://www.econbiz.de/10010996988

Application of Spatial Analysis Techniques to Select the Most Suitable Areas for Flood Spreading

Dashtpagerdi, Mostafa Moradi; Nohegar, Ahmad; … - In: Water Resources Management 27 (2013) 8, pp. 3071-3084

suitable areas of flood spreading for each technique were determined: Fuzzy Clustering (14.4 %) Overlay Index (10.84 %) and … Index, Boolean model and Fuzzy Clustering, respectively. According to our results, the spatial analysis techniques can be …This study addressed potential areas for flood spreading by evaluating the Boolean Logic, Overlay Index and Fuzzy …

Persistent link: https://www.econbiz.de/10010998007

Economic development strategies and methods for identifying leading industries and industrial clusters

Webster, Thomas J. - In: International Journal of Economics and Business Research 5 (2013) 1, pp. 55-74

fuzzy clustering. The Republic of Indonesia is used as a case study to illustrate the strengths and weakness of each of …

Persistent link: https://www.econbiz.de/10010669623

Improvements to the quantum evolutionary clustering

Ramdane, Chafika; Kholladi, Mohamed-Khireddine - In: International Journal of Data Analysis Techniques and … 5 (2013) 2, pp. 175-197

In previous work, a novel approach to data clustering based on quantum evolutionary algorithm has been proposed. In a comparison to other evolutionary clustering algorithms, the approach showed a high performance in terms of effectiveness and quality of found clusters. Although the approach is...

Persistent link: https://www.econbiz.de/10010669761

Segmenting luxe-bargain shoppers using a fuzzy clustering method

Lim, Chae Mi; Runyan, Rodney; Kim, Youn-Kyung - In: International Journal of Retail & Distribution Management 41 (2013) 11/12, pp. 848-868

Purpose – This study aims to identify consumer segments among luxe-bargain shoppers using a fuzzy clustering method … brand at a bargain. The analyses involve running a confirmatory factor analysis, a fuzzy clustering analysis based on … psychographic variables, and ANOVA for profiling the segments. Findings – A fuzzy clustering analysis identifies four distinct …

Persistent link: https://www.econbiz.de/10014804188