A novel clustering method for Chernoff faces based on V-system

The Chernoff faces is a classical method to display multidimensional data graphically in Multivariate Statistics. Based on the V-system, a class of complete orthogonal function system on L 2 [0,1], a new method to quantify the overall features of Chernoff faces is proposed in this paper. Chernoff fa...

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Bibliographic Details
Published in2009 International Conference on Information and Automation pp. 1556 - 1561
Main Authors Ruixia Song, Zhaoxia Zhao, Meifang Ou
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2009
Subjects
Clustering methods
Eyes
Face detection
Facial features
Humans
Multidimensional systems
Solid modeling
Statistical analysis
Statistics
Visualization
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Summary:The Chernoff faces is a classical method to display multidimensional data graphically in Multivariate Statistics. Based on the V-system, a class of complete orthogonal function system on L 2 [0,1], a new method to quantify the overall features of Chernoff faces is proposed in this paper. Chernoff faces are firstly transformed into the frequency domain by the V-system, the overall features of Chernoff faces are then obtained. It offers a new programmed clustering method for Chernoff faces. Using it, self-adaptive clustering can carry out by computer. This self-adaptive clustering technique can avoid misjudgment caused by human eyes. Especially, when the number of data sets processing is very large, its advantage is more obvious. The results of the concrete experimental tests indicate that the novel method for clustering Chernoff faces is simple, fast and effective.
ISBN:9781424436071
1424436079
DOI:10.1109/ICINFA.2009.5205165