A measure for objects clustering in principal component analysis biplot: A case study in inter-city buses maintenance cost data
This article presents the application of the principal component analysis (PCA) biplot for the
needs of data mining. This article aims to simplify and objectify the methods for objects
clustering in PCA biplot. The novelty of this paper is to get a measure that can be used to
objectify the objects clustering in PCA biplot. Orthonormal eigenvectors, which are the
coefficients of a principal component model representing an association between principal
components and initial variables. The existence of the association is a valid ground to …
needs of data mining. This article aims to simplify and objectify the methods for objects
clustering in PCA biplot. The novelty of this paper is to get a measure that can be used to
objectify the objects clustering in PCA biplot. Orthonormal eigenvectors, which are the
coefficients of a principal component model representing an association between principal
components and initial variables. The existence of the association is a valid ground to …
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