Stream Clustering using Probabilistic Data Structures

Most density based stream clustering algorithms separate the clustering process into an online and offline component. Exact summarized statistics are being employed for defining micro-clusters or grid cells during the online stage followed by macro-clustering during the offline stage. This paper pro...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	arXiv.org 2016-12
1. Verfasser:	Andrei Sorin Sabau
Format:	Artikel
Sprache:	eng
Schlagworte:	Clustering Data analysis Data structures Density Hash based algorithms Outliers (statistics) Sketches
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!