On Density-Based Data Streams Clustering Algorithms： A Survey

Clustering data streams has drawn lots of attention in the last few years due to their ever-growing presence. Data streams put additional challenges on clustering such as limited time and memory and one pass clustering. Furthermore, discovering clusters with arbitrary shapes is very important in dat...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	Journal of computer science and technology Ročník 29; číslo 1; s. 116 - 141
Hlavní autori:	Amini, Amineh, Wah, Teh Ying, Saboohi, Hadi
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Boston Springer US 2014 Springer Nature B.V
Predmet:	Algorithms Analysis Artificial Intelligence Cluster analysis Clustering Computer Science data Data processing Data Structures and Information Theory Data transmission Datasets Density density-based grid-based Information Systems Applications (incl.Internet) Knowledge micro-clustering micro-clusteringdata Noise Regular Paper Social networks Social research Software Engineering stream Studies Theory of Computation density-based clustering data stream micro-clustering grid-based clustering
ISSN:	1000-9000, 1860-4749
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!