scholarly journals Implosão e explosão na Exópolis: evidências a partir do mercado imobiliário da RMBH.

Nova Economia ◽  
2017 ◽  
Vol 27 (2) ◽  
pp. 323-350 ◽  
Author(s):  
Renan Pereira Almeida ◽  
Roberto Luís de Melo Monte-Mór ◽  
Pedro Vasconcelos Maia do Amaral
Keyword(s):  
Fuzzy Clustering ◽  
Clustering Analysis ◽  
Henri Lefebvre ◽  
Fuzzy Clustering Analysis ◽  
Belo Horizonte ◽  
Edward Soja

Resumo: Entre os fenômenos espaciais das metrópoles contemporâneas, destacam-se neste trabalho as chamadas “Implosão” e “Explosão”, derivadas da obra de Henri Lefebvre. A implosão é interpretada como tendência à aglomeração nas áreas centrais das metrópoles, significando uma retomada dessas áreas como espaços privilegiados. A explosão informa um processo de urbanização estendida, indicando a ocupação de áreas distantes das centralidades principais. Essas duas tendências são relacionadas à chamada Exópolis, interpretação da metrópole fornecida por Edward Soja. No exercício empírico para Belo Horizonte e sua Região Metropolitana,foram usados dados do mercado imobiliário residencial, e o método Fuzzy Clustering Analysis foi empregado. Os resultados sobre a hipótese da implosão destacam a heterogeneidade da área central da cidade, e para a explosão, esse mercado da RMBH forneceu evidências de estar de fato se estendendo pela região, seja em aglomerações de moradias de trabalhadores no tecido urbano, seja em condomínios fechados para as elites.

A Study on the Application of Fuzzy Clustering Analysis in Juvenile Delinquency Prevention

2013 ◽  
Vol 12 (7) ◽  
pp. 1358-1365
Author(s):  
Yau-Ren Shiau ◽  
Ching-Hsing Tsai ◽  
Yung-Hsiang Hung ◽  
Jui-Huan Wu
Keyword(s):  
Juvenile Delinquency ◽  
Fuzzy Clustering ◽  
Clustering Analysis ◽  
Delinquency Prevention ◽  
Fuzzy Clustering Analysis

scholarly journals Fuzzy clustering analysis to study geomagnetic coastal effects

2005 ◽  
Vol 23 (4) ◽  
pp. 1157-1163 ◽  
Author(s):  
M. Sridharan ◽  
N. Gururajan ◽  
A. M. S. Ramasamy
Keyword(s):  
Cluster Analysis ◽  
Fuzzy Clustering ◽  
Computer Technology ◽  
Clustering Analysis ◽  
East Coast ◽  
Equatorial Electrojet ◽  
Analytical Technique ◽  
Fuzzy Clustering Analysis ◽  
The Subject

Abstract. The utility of fuzzy set theory in cluster analysis and pattern recognition has been evolving since the mid 1960s, in conjunction with the emergence and evolution of computer technology. The classification of objects into categories is the subject of cluster analysis. The aim of this paper is to employ Fuzzy-clustering technique to examine the interrelationship of geomagnetic coastal and other effects at Indian observatories. Data from the observatories used for the present studies are from Alibag on the West Coast, Visakhapatnam and Pondicherry on the East Coast, Hyderabad and Nagpur as central inland stations which are located far from either of the coasts; all the above stations are free from the influence of the daytime equatorial electrojet. It has been found that Alibag and Pondicherry Observatories form a separate cluster showing anomalous variations in the vertical (Z)-component. H- and D-components form different clusters. The results are compared with the graphical method. Analytical technique and the results of Fuzzy-clustering analysis are discussed here.

Research on User Clustering of Recommended System Based on Fuzzy Clustering

2014 ◽  
Vol 513-517 ◽  
pp. 1540-1544
Author(s):  
Li Hua Zhang ◽  
Wei Liu
Keyword(s):  
Fuzzy Clustering ◽  
Clustering Analysis ◽  
Recommendation System ◽  
Information Overload ◽  
Fuzzy Clustering Analysis ◽  
User Clustering ◽  
Objective Classification ◽  
Distance Education System ◽  
High Quality Service

Today's society is a society of information explosion, the popularity of the Internet and development bring a lot of convenience to people, people can easily get a lot of information on the network, however, facing so many information, people prone to the problems of "information overload" and "resources disorientation. Therefore, the recommended system came into being, the recommendation system can provide people with the most in need and most concern to avoid the time of the search and comparison. This article intends to use the very mature recommendation system in the field of electronic commerce to distance education system and promotes personalized learning, shifting the traditional "what teachers teach, what students receive" to "what the students need, what the system provides, which is consistent of constructivism study philosophy. The analysis of users interested as the basis of the recommendation system, users clustering is very important, the objective classification of fuzzy clustering analysis can recommend for users to enjoy high-quality service.

Sign in / Sign up

Export Citation Format

Share Document