Building Evolutionary Clustering Algorithms on Spark

Building Evolutionary Clustering Algorithms on Spark

Evolutionary clustering (EC) is a kind of clustering algorithm to handle the noise of time-evolved data. It can track the truth drift of clustering across time by considering history. EC tries to make clustering result fit both current data and historical data/model well, so each EC algorithm define...

Full description

Bibliographic Details
Main Author: Fu, Xinye
Format: Others
Language:English
Published: KTH, Skolan för informations- och kommunikationsteknik (ICT) 2017
Subjects:
Evolutionary clustering
Spark
Survey
Data-intensive computing
Evolutionär clustering
Undersökning
Datintensiv databehandling
Computer Sciences
Datavetenskap (datalogi)
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-219608

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-219608

Similar Items