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Distance Metrics for Time-Series Data with Concentric Multi-Sphere Self Organizing Maps

Gedeon, Tamas (Tom); Paget, Lachlan; Zhu, Dingyun

Description

Self-Organizing Maps have been shown to be a powerful unsupervised learning a tool in the analysis of complex high dimensional data. SOMs are capable of performing topological mapping, clustering and dimensionality reduction in order to effectively visual

CollectionsANU Research Publications
Date published: 2013
Type: Journal article
URI: http://hdl.handle.net/1885/66432
Source: Lecture Notes in Computer Science (LNCS)
DOI: 10.1007/978-3-642-42042-9_94

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