Hierarchical conceptual clustering based on quantile method for identifying microscopic details in distributional data

MLA

Kadri Umbleja, et al. “Hierarchical Conceptual Clustering Based on Quantile Method for Identifying Microscopic Details in Distributional Data.” Advances in Data Analysis and Classification, vol. 15, July 2020, pp. 407–36. EBSCOhost, https://doi.org/10.1007/s11634-020-00411-w.

APA

Kadri Umbleja, Manabu Ichino, & Hiroyuki Yaguchi. (2020). Hierarchical conceptual clustering based on quantile method for identifying microscopic details in distributional data. Advances in Data Analysis and Classification, 15, 407–436. https://doi.org/10.1007/s11634-020-00411-w

Chicago

Kadri Umbleja, Manabu Ichino, and Hiroyuki Yaguchi. 2020. “Hierarchical Conceptual Clustering Based on Quantile Method for Identifying Microscopic Details in Distributional Data.” Advances in Data Analysis and Classification 15 (July): 407–36. doi:10.1007/s11634-020-00411-w.