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
subject term
keyword
ISSN
1862-5347
1862-5355
notes
Bibliogr. p. 29-30
TTÜ department
language
inglise
Uurimisrühm
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.