Evolutionary techniques for complex objects clustering

Evolutionary techniques for complex objects clustering

The article presents the evolution technologies for clustering objects, specified by their characteristics values. The genetic algorithms and evolution strategies elements, underlying them, allow to solve clustering problems with minimal constraints on the initial data. The experiments results are g...

Full description

Saved in:
Bibliographic Details
Published in:2017 IEEE 4th International Conference Actual Problems of Unmanned Aerial Vehicles Developments (APUAVD) pp. 270 - 273
Main Authors: Snytyuk, V. Y., Suprun, O. O.
Format: Conference Proceeding
Language:English
Published: IEEE 01-10-2017
Subjects:
Clustering algorithms
Clustering methods
clustering problem
complex objects
Conferences
evolution strategies
evolution technologies
Genetic algorithms
Iris
Sociology
Statistics
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The article presents the evolution technologies for clustering objects, specified by their characteristics values. The genetic algorithms and evolution strategies elements, underlying them, allow to solve clustering problems with minimal constraints on the initial data. The experiments results are given, which proof the effectiveness of the proposed methods.
DOI:10.1109/APUAVD.2017.8308827