Cluster Analysis – Symbolic vs. Classical Data
Justyna Wilk, Marcin Pełka · University of Lodz Repository (University of Łódź) · 2013
Clustering problem is addressed in many contexts and disciplines. Although there are numerous studies on cluster analysis, there is a lack of a review to complete and systematize knowledge of research approach depending on data form. The paper presents a concept of clustering, classifications of cluster analysis methods, comparison of numerical and symbolic taxonomy, specificity of symbolic data as regards classical data, methods of numerical and symbolic data analysis applicable in clustering procedure.