Automatically Selecting Parameters for Graph-Based Clustering

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Automatically Selecting Parameters for Graph-Based Clustering

Data streams present a number of challenges, caused by change in stream concepts over time. In this thesis we present a novel method for detection of concept drift within data streams by analysing geometric features of the clustering algorithm, RepStream. Further, we present novel methods for automa...

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Bibliographic Details
Main Author:	Callister, Ross
Format:	Thesis
Published:	Curtin University 2020
Online Access:	http://hdl.handle.net/20.500.11937/80407

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