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This article shows you how to carry out SPSS cluster analysis, the content is concise and easy to understand, can definitely brighten your eyes, through the detailed introduction of this article, I hope you can get something.

Today, we recommend an article to do systematic clustering, and the software is SPSS. The learning of this software requires some knowledge of statistics. Clustering analysis refers to the analysis process of grouping a collection of physical or abstract objects into multiple classes composed of similar objects.

The goal of cluster analysis is to collect data on the basis of similarity for classification. Clustering comes from many fields, including mathematics, computer science, statistics, biology and economics. In different application fields, many clustering techniques have been developed. these techniques and methods are used to describe data, measure the similarity between different data sources, and classify data sources into different clusters.

Clustering is a process of classifying data into different classes or clusters, so the objects in the same cluster are very similar, while the objects in different clusters are very different.

Case study:

The economic indicators of 31 provinces are selected to divide the economic level of the whole country into different categories.

The selected data are as follows:

Open SPSS and click analyze → classification → system clustering

Import the selected variables and use the region as the basis for case labeling

Select the pedigree graph in the graph to judge the classification intuitively.

The clustering method chooses the Ward method. Because the units of each economic variable are different, the Mahalanobis distance is selected to eliminate the influence of the dimension.

Our results are shown in the following figure

Intuitively, we can divide the country into four categories: economically developed, more developed, general and backward.

From a statistical point of view, cluster analysis is a method to simplify data through data modeling. The traditional statistical clustering analysis methods include systematic clustering, decomposition, addition, dynamic clustering, ordered sample clustering, overlapping clustering and fuzzy clustering.

The above content is how to carry out the cluster analysis of SPSS. Have you learned the knowledge or skills? If you want to learn more skills or enrich your knowledge reserve, you are welcome to follow the industry information channel.

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