id: 06113649
dt: j
an: 06113649
au: Makosso-Kallyth, Sun; Diday, Edwin
ti: Adaptation of interval PCA to symbolic histogram variables.
so: Adv. Data Anal. Classif., ADAC 6, No. 2, 147-159 (2012).
py: 2012
pu: Springer, Berlin
la: EN
cc: 
ut: symbolic histogram variable; hypercube; tchebychev inequality; angular
    transformation; procrustean analysis
ci: 
li: doi:10.1007/s11634-012-0108-0
ab: Summary: This paper is an adaptation of symbolic interval Principal
    Component Analysis (PCA) to histogram data. We proposed two
    methodologies. The first one involved three steps: the coding of bins
    of histogram, the ordinary PCA of means of variables and the
    representation of dispersion of symbolic observations we call concepts.
    For the representation of dispersion of these concepts we proposed the
    transformation of histograms into intervals. Then, we suggest the
    projection of the hypercubes or the interval lengths associated to each
    concept on the principal axes of the ordinary PCA of means. In the
    second methodology, we proposed the use of the three previous steps
    with the angular transformation.
rv: