Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Paraskevi Chasani"'
Autor:
Paraskevi Chasani, Aristidis Likas
Publikováno v:
Information, Vol 15, Iss 11, p 704 (2024)
The use of decision trees for obtaining and representing clustering solutions is advantageous, due to their interpretability property. We propose a method called Decision Trees for Axis Unimodal Clustering (DTAUC), which constructs unsupervised binar
Externí odkaz:
https://doaj.org/article/5f843481a1d54a79b04874f915e34825
Autor:
Aristidis Likas, Paraskevi Chasani
Publikováno v:
Pattern Recognition. 122:108272
Deciding on the unimodality of a dataset is an important problem in data analysis and statistical modeling. It allows to obtain knowledge about the structure of the dataset, ie. whether data points have been generated by a probability distribution wi