Incremental density-based ensemble clustering over evolving data streams
Authors:
- Imran KhanIKImran Khan
- Joshua Z. HuangJHJoshua Z. Huang
- Kamen IvanovKIKamen Ivanov
- 1 May 2016
- journal article
- research article
- Published by Elsevier in Neurocomputing
- Vol. 191, 34-43
Abstract
No abstract availableKeywords
Funding Information
- National Natural Science Foundation of China (61473194)
- Science and Technology Planning Project of Guangdong Province of China (2013B091300019)
- Peacock Plan (KOCX201208161601439)
This publication has 25 references indexed in Scilit:
- Density-Based Clustering over an Evolving Data Stream with Noise2006
- A Primer on Statistical DistributionsJournal of the American Statistical Association, 2004
- A Framework for Projected Clustering of High Dimensional Data Streams2004
- Customer characterization options for improving the tariff offerIEEE Transactions on Power Systems, 2003
- A Framework for Clustering Evolving Data Streams2003
- Cure: an efficient clustering algorithm for large databasesInformation Systems, 2001
- Managing customer and distribution utility costsIEEE Transactions on Power Delivery, 1999
- Akaike Information Criterion StatisticsTechnometrics, 1989
- A Criterion for Determining the Number of Groups in a Data Set Using Sum-of-Squares ClusteringBiometrics, 1988
- A dendrite method for cluster analysisCommunications in Statistics, 1974