A new approach data processing: density-based spatial clustering of applications with noise (DBSCAN) clustering using game-theory

Due to the unpredictable growth of data in various fields, rapid clustering of big data is seriously needed in order to identify the hidden structure of data and discover the relationships between objects. Among clustering methods, density-based clustering methods have an acceptable processing speed...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	Soft computing (Berlin, Germany) Ročník 29; číslo 3; s. 1331 - 1346
Hlavní autori:	Kazemi, Uranus, Soleimani, Seyfollah
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Heidelberg Springer Nature B.V 01.02.2025
Predmet:	Accuracy Algorithms Big Data Clustering Data compression Data mining Data points Data processing Datasets Density Efficiency Fluid dynamics Game theory Massive data points Methods Optimization Parameter sensitivity Spatial data Synthetic data
ISSN:	1432-7643, 1433-7479
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!