scholarly journals TRATAMENTO GRÁFICO E MATEMÁTICO-ESTATÍSTICO DE DADOS MULTIVARIADOS: ANÁLISES DE AGRUPAMENTOS A PARTIR DAS TÉCNICAS MATRIZ ORDENÁVEL, COMPONENTES PRINCIPAIS, WARD E K-MÉDIAS

1998 ◽  
Author(s):  
Márcia M. Duarte dos Santos ◽  
Miguel C. Sanchez ◽  
Sueli Ap. Mingoti

In this paper some methods commonly used in multivariate cluster analysis are discussed and compared byusing a specific data set. The main objective is to show that the graphical method is efficient and similar tothe Ward and K-Means methods which are based upon mathematical and statistical theories. Thesimilarityfound between the graphical and the statistical methods suggests that although it is more subjective thegraphical method is a valid technique that could be used to determine the clusters of a sample or a population.,

2014 ◽  
Vol 919-921 ◽  
pp. 1630-1633
Author(s):  
Xiu Feng Ma

In the middle of the 20th century, geography has experienced a number "revolution". statistical occupies more and more important position in the urban geography research. This paper analyzes the application of statistics in the development of the urban geography. And with the method of case study, illustrates the multivariate cluster analysis, regression analysis and other statistical methods in the study of urban geography specific applications


2020 ◽  
Vol 17 (4) ◽  
pp. 73-80 ◽  
Author(s):  
Vera Snezhko ◽  
Dmitrii Benin ◽  
Artem Lukyanets ◽  
Larisa Kondratenko

Considering features of hydrological conditions for hydro-chemical system, this paper analyses the performance of the hydro-ecological status of the Kuban river basin.. The results of the study on water chemical composition depending on the distance from the source are presented. By comparing the results with the reference values of water quality, increased aluminium, zinc, and copper content was established. Respective dendrograms of hydro-ecological studies obtained according to performed analysis for the Kuban River and its tributaries are presented. The relevance of the findings received is p<0.0005 and the correlation coefficient corresponds to 0.935...1. The results of multivariate cluster analysis showed that the Kuban basin has an increased content of particular heavy metals such as aluminium, copper, and zinc.


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