Investigating the Quality of Different Self-Organizing Map Topologies for Complex Data

dc.contributor.authorWu, Huajie
dc.contributor.authorGedeon, Tamas (Tom)
dc.contributor.authorZhu, Dingyun
dc.coverage.spatialSmolenice Slovakia
dc.date.accessioned2015-12-10T23:32:39Z
dc.date.createdSeptember 5-7 2012
dc.date.issued2012
dc.date.updated2016-02-24T08:51:28Z
dc.description.abstractSelf-Organizing Maps (SOM) are useful tools for visualizing high dimensional data. However, conventional SOM suffer from the border effect. Therefore, Spherical Self-Organizing Maps (SSOM) have been developed to remove such negative effects. In this paper, we extend the topology of SSOM by reconstructing the neighbors to propose the concept of Concentric Spherical Self-Organizing Maps (CSSOM). The major improvement of CSSOM is that it allows using an arbitrary number of spheres and such a topology could be applied in analyzing sequential and time series data. We conducted experiments using these SOM topologies on several datasets. The display schemas and several measures for the quality of SOMs are discussed with the experimental results. The comparison of the results indicates that the quality of SOM is improved through using specified CSSOM depending on the characteristics of the dataset.
dc.identifier.isbn9781467345194
dc.identifier.urihttp://hdl.handle.net/1885/68924
dc.publisherConference Organising Committee
dc.relation.ispartofseriesIEEE International Symposium on Logistics and Industrial Informatics (LINDI 2012)
dc.sourceLINDI 2012 - 4th IEEE International Symposium on Logistics and Industrial Informatics, Proceedings
dc.subjectKeywords: Arbitrary number; Border effects; Complex data; Data sets; High dimensional data; Schemas; Time-series data; Conformal mapping; Information science; Spheres; Topology
dc.titleInvestigating the Quality of Different Self-Organizing Map Topologies for Complex Data
dc.typeConference paper
local.bibliographicCitation.lastpage226
local.bibliographicCitation.startpage221
local.contributor.affiliationWu, Huajie, College of Engineering and Computer Science, ANU
local.contributor.affiliationGedeon, Tamas (Tom), College of Engineering and Computer Science, ANU
local.contributor.affiliationZhu, Dingyun, College of Engineering and Computer Science, ANU
local.contributor.authoremailu4088783@anu.edu.au
local.contributor.authoruidWu, Huajie, u4932885
local.contributor.authoruidGedeon, Tamas (Tom), u4088783
local.contributor.authoruidZhu, Dingyun, u4265120
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor080106 - Image Processing
local.identifier.absseo890301 - Electronic Information Storage and Retrieval Services
local.identifier.ariespublicationf5625xPUB1868
local.identifier.doi10.1109/LINDI.2012.6319492
local.identifier.scopusID2-s2.0-84868231766
local.identifier.uidSubmittedByf5625
local.type.statusPublished Version

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