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This https://arxiv.org/abs/2308.06820 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_sta…

Divisive Hierarchical Clustering of Variables Identified by Singular Vectors
In this work, we present a novel method for divisive hierarchical variable clustering. A cluster is a group of elements that exhibit higher similarity among themselves than to elements outside this cluster. The correlation coefficient serves as a natural measure to assess the similarity of variables. This means that in a correlation matrix, a cluster is represented by a block of variables with greater internal than external correlation. Our approach provides a nonparametric solution to identify…

This https://arxiv.org/abs/2308.06820 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_sta…

Divisive Hierarchical Clustering of Variables Identified by Singular Vectors
In this work, we present a novel method for divisive hierarchical variable clustering. A cluster is a group of elements that exhibit higher similarity among themselves than to elements outside this cluster. The correlation coefficient serves as a natural measure to assess the similarity of variables. This means that in a correlation matrix, a cluster is represented by a block of variables with greater internal than external correlation. Our approach provides a nonparametric solution to identify…