z-logo
open-access-imgOpen Access
A Possibilistic Fuzzy Approach for Novelty Detection with Automatically Adjusted Number of Clusters
Author(s) -
Shakhnaz Akhmedova,
Vladimir Stanovov,
‪Eugene Semenkin,
Sophia Vishnevskaya
Publication year - 2022
Publication title -
epic series in computing
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 0.21
H-Index - 7
ISSN - 2398-7340
DOI - 10.29007/ffss
Subject(s) - benchmark (surveying) , novelty detection , computer science , novelty , outlier , fuzzy logic , class (philosophy) , artificial intelligence , measure (data warehouse) , data mining , metric (unit) , pattern recognition (psychology) , machine learning , algorithm , philosophy , operations management , theology , geodesy , economics , geography

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here