Hierarchical conceptual clustering based on quantile method for identifying microscopic details in distributional data
statement of authorship
Kadri Umbleja, Manabu Ichino, Hiroyuki Yaguchi
source
Advances in data analysis and classification
year of publication
pages
30 p. : ill
ISSN
1862-5347
1862-5355
notes
Bibliogr. p. 29-30
language
inglise
subject term
keyword
TTÜ department
Reserch Group
Umbleja, K., Ichino, M., Yaguchi, H. Hierarchical conceptual clustering based on quantile method for identifying microscopic details in distributional data // Advances in data analysis and classification (2020), 30 p. : ill.