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Marion, M. and Signonello, S. (2011) From Histogram Data to Model Data Analysis. In: Fichet, B., et al., Eds., Classification and Multivariate Analysis for Complex Data Structures, Studies in Classification Data Analysis, and Knowledge Organization, Springer-Verlag, Berlin Heidelberg.
http://dx.doi.org/10.1007/978-3-642-13312-1_38

has been cited by the following article:

• TITLE: Hierarchical Cores Applied to an Analysis of Use of Technologies Level among Higher Education Students in Mexico

  AUTHORS: Francisco Casanova-del-Angel

  KEYWORDS: Use of Technologies, Higher Education, Questionnaire, Pocket Calculators, Hierarchical Cores

  JOURNAL NAME: Open Journal of Statistics, Vol.4 No.10, November 18, 2014

  ABSTRACT: Using the theory shown, Cores Optimal Criterion, three factors from which hierarchical aggregation of variables under study was built, as well as hierarchical cores showing the level of use of pocket computing technologies by students. The principal factors influencing the level of use of pocket computing technologies among higher education students are analyzed from a theoretical aggregation development based on hierarchical cores. The theoretical part includes the development of an algorithm used to obtain an interesting class or partition from a hierarchy. The experimental work carried out included design, preparation and application of a questionnaire to higher education students in Mexico. A pilot test was carried out to check timing and repetition of questions. Data was recorded, validated, and mathematically and statistically analyzed.