Open Science Research Excellence
%0 Journal Article
%A George E. Tsekouras and  Evi Sampanikou
%D 2007 
%J  International Journal of Social, Behavioral, Educational, Economic, Business and Industrial Engineering
%B World Academy of Science, Engineering and Technology
%I International Science Index 12, 2007
%T Cluster Analysis for the Statistical Modeling of Aesthetic Judgment Data Related to Comics Artists
%U http://waset.org/publications/15253
%V 12
%X We compare three categorical data clustering
algorithms with respect to the problem of classifying cultural data
related to the aesthetic judgment of comics artists. Such a
classification is very important in Comics Art theory since the
determination of any classes of similarities in such kind of data will
provide to art-historians very fruitful information of Comics Art-s
evolution. To establish this, we use a categorical data set and we
study it by employing three categorical data clustering algorithms.
The performances of these algorithms are compared each other,
while interpretations of the clustering results are also given.
%P 826 - 828