On some properties of weighted averaging with variable weights

Beliakov, G and Wilkin, T 2014, On some properties of weighted averaging with variable weights, Information sciences, vol. 281, pp. 1-7, doi: 10.1016/j.ins.2014.05.011.

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Title On some properties of weighted averaging with variable weights
Author(s) Beliakov, GORCID iD for Beliakov, G orcid.org/0000-0002-9841-5292
Wilkin, TORCID iD for Wilkin, T orcid.org/0000-0003-4059-1354
Journal name Information sciences
Volume number 281
Start page 1
End page 7
Publisher Elsevier Inc.
Place of publication Philadelphia, PA
Publication date 2014-10-10
ISSN 0020-0255
Keyword(s) aggregation function
density based averaging
weak monotonicity
science and technology
computer science, information systems
aggregation operators
Summary Density-based means have been recently proposed as a method for dealing with outliers in the stream processing of data. Derived from a weighted arithmetic mean with variable weights that depend on the location of all data samples, these functions are not monotonic and hence cannot be classified as aggregation functions. In this article we establish the weak monotonicity of this class of averaging functions and use this to establish robust generalisations of these means. Specifically, we find that as proposed, the density based means are only robust to isolated outliers. However, by using penalty based formalisms of averaging functions and applying more sophisticated and robust density estimators, we are able to define a broader family of density based means that are more effective at filtering both isolated and clustered outliers. © 2014 Elsevier Inc. All rights reserved.
Language eng
DOI 10.1016/j.ins.2014.05.011
Field of Research 080108 Neural, Evolutionary and Fuzzy Computation
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2014, Elsevier
Persistent URL http://hdl.handle.net/10536/DRO/DU:30067756

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