Global Clustering Quality Coefficient Assessing the Efficiency of PCA Class Assignment
نویسندگان
چکیده
منابع مشابه
Global Clustering Quality Coefficient Assessing the Efficiency of PCA Class Assignment
An essential factor influencing the efficiency of the predictive models built with principal component analysis (PCA) is the quality of the data clustering revealed by the score plots. The sensitivity and selectivity of the class assignment are strongly influenced by the relative position of the clusters and by their dispersion. We are proposing a set of indicators inspired from analytical geom...
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ژورنال
عنوان ژورنال: Journal of Analytical Methods in Chemistry
سال: 2014
ISSN: 2090-8865,2090-8873
DOI: 10.1155/2014/342497