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Mathematical Computation

Mathematical Computation (Yearly) is an international comprehensive professional academic journal of Ivy Publisher, concerning the development of mathematical theory and computing application on the combination of mathematical theory and modern industrial technology. The main focus of the journal is the academic papers and comments of latest theoretical and apolitical mathematics improvement in the fields of nature science, engineering technology... [More] Mathematical Computation (Yearly) is an international comprehensive professional academic journal of Ivy Publisher, concerning the development of mathematical theory and computing application on the combination of mathematical theory and modern industrial technology. The main focus of the journal is the academic papers and comments of latest theoretical and apolitical mathematics improvement in the fields of nature science, engineering technology, economy and science, report of latest research result, aiming at providing a good communication platform to transfer, share and discuss the theoretical and technical development of mathematics theory development for professionals, scholars and researchers in this field, reflecting the academic front level, promote academic change and foster the rapid expansion of mathematics theory and application technology.

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ISSN Print:2327-0519

ISSN Online:2327-0527

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Paper Infomation

Comparative Study of Cluster Analysis Method

Full Text(PDF, 272KB)

Author: Tingting Chen

Abstract: Cluster analysis is a kind of modern multivariate statistical analysis method to research "Things of one kind come together". And cluster analysis methods have developed rapidly, and made fruitful applications in economics, management, geological exploration, weather forecast, taxonomy, archaeology, medicine, psychology and national and regional standards development and so on.First, learning the relevant knowledge of cluster analysis, using the different kinds of system clustering method to classify the instance data through the application of SPSS software, and determining the suitable number of classes by using the threshold T, observing scatter plots and using statistics, to research and compare the different kinds of system clustering method. Finally come to the conclusion that: The deficiency of "Given a threshold value T" is its subjectivity; the method "Scatter plot" is more intuitive, and the efficiency may be better than the normal clustering method; "Using statistics" is often more clear. In the effect of clustering methods, in many applications, the clustering effect of the average linkage method and the Ward method is relatively good.

Keywords: Cluster Analysis, Classification, System Clustering Method, SPSS

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