Test environment running 7.6.6

Cultural advice

The Australian National University acknowledges, celebrates and pays our respects to the Ngunnawal and Ngambri people of the Canberra region and to all First Nations Australians on whose traditional lands we meet and work, and whose cultures are among the oldest continuing cultures in human history.

Aboriginal and Torres Strait Islander peoples are advised that ANU Library collections may include images, names, voices, and other representations of deceased persons.

Material in the collection may contain terms, language or views that reflect the period in which the item was created and may be considered inappropriate today.

MODIFIED AFFINITY PROPAGATION CLUSTERING

Loading...
Thumbnail Image

Date

Authors

Zhang, Jing
He, Mingyi
Dai, Yuchao

Journal Title

Journal ISSN

Volume Title

Publisher

IEEE

Abstract

Affinity propagation clustering is an efficient clustering technique that does not require prior knowledge of the number of clusters. However, it sets the input preferences without considering data set distribution and competition in the former iteration

Description

Keywords

Citation

Source

Signal and Information Processing (ChinaSIP), 2014 IEEE China Summit & International Conference on

Book Title

Entity type

Access Statement

License Rights

Restricted until

2037-12-31