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:: Volume 8, Issue 2 (3-2015) ::
JSS 2015, 8(2): 223-243 Back to browse issues page
Statistical Clustering of Shape Data
Mahnaz Nabil , Mousa Golalizadeh *
Abstract:   (11141 Views)
Recently, employing multivariate statistical techniques for data, that are geometrically random, made more attention by the researchers from applied disciplines. Shape statistics, as a new branch of stochastic geometry, constitute batch of such data. However, due to non-Euclidean feature of such data, adopting usual tools from the multivariate statistics to proper statistical analysis of them is not somewhat clear. How to cluster the shape data is studied in this paper and then its performance is compared with the traditional view of multivariate statistics to this subject via applying these methods to analysis the distal femur.
Keywords: Clustering, Stochastic Geometry, Statistical Shape Analysis, Statistical Distances, Distal Femur.
Full-Text [PDF 477 kb]   (2824 Downloads)    
Type of Study: Applied | Subject: Applied Statistics
Received: 2014/02/12 | Accepted: 2014/09/17 | Published: 2014/09/17
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Nabil M, Golalizadeh M. Statistical Clustering of Shape Data. JSS 2015; 8 (2) :223-243
URL: http://jss.irstat.ir/article-1-271-en.html


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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 8, Issue 2 (3-2015) Back to browse issues page
مجله علوم آماری – نشریه علمی پژوهشی انجمن آمار ایران Journal of Statistical Sciences

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