Matches in SemOpenAlex for { <https://semopenalex.org/work/W2063669010> ?p ?o ?g. }
Showing items 1 to 80 of
80
with 100 items per page.
- W2063669010 endingPage "976" @default.
- W2063669010 startingPage "963" @default.
- W2063669010 abstract "Scientific data visualization requires a variety of mathematical techniques to transform multivariate data sets into simple graphical objects, or glyphs, that provide scientists and engineers with a clearer understanding of the underlying system behaviour. The spherical self-organizing feature map (SOFM) described in this paper exploits an unsupervised clustering algorithm to map randomly organized N-dimensional data into a lower three-dimensional (3D) space for visual pattern analysis. Each node on the spherical lattice corresponds to a cluster of input vectors that lie in close spatial proximity within the original feature space, and neighbouring nodes on the lattice represent cluster centres with a high degree of vector similarity. Simple metrics are used to extract associations between the cluster units and the input vectors assigned to them. These are then graphically displayed on the spherical SOFM as either surface elevations or colourized facets. The resulting colourized graphical objects are displayed and manipulated within 3D immersive virtual reality (IVR) environments for interactive data analysis. The ability of the proposed algorithm to transform arbitrarily arranged numeric strings into unique, reproducible shapes is illustrated using chaotic data generated by the Lozi, Hénon, Rössler, and Lorenz attractor functions under varying initial conditions. Implementation of the basic data visualization technique is further demonstrated using the more common Wisconsin breast cancer data and multi-spectral satellite data." @default.
- W2063669010 created "2016-06-24" @default.
- W2063669010 creator A5018952300 @default.
- W2063669010 creator A5034318371 @default.
- W2063669010 date "2003-12-01" @default.
- W2063669010 modified "2023-10-12" @default.
- W2063669010 title "Visualization of randomly ordered numeric data sets using spherical self-organizing feature maps" @default.
- W2063669010 cites W1613201427 @default.
- W2063669010 cites W176849227 @default.
- W2063669010 cites W1969557815 @default.
- W2063669010 cites W2009480270 @default.
- W2063669010 cites W2031245628 @default.
- W2063669010 cites W2067634031 @default.
- W2063669010 cites W2088709281 @default.
- W2063669010 cites W2134625787 @default.
- W2063669010 cites W2147845048 @default.
- W2063669010 cites W2165182079 @default.
- W2063669010 cites W4231311245 @default.
- W2063669010 cites W4242372420 @default.
- W2063669010 doi "https://doi.org/10.1016/j.cag.2003.08.012" @default.
- W2063669010 hasPublicationYear "2003" @default.
- W2063669010 type Work @default.
- W2063669010 sameAs 2063669010 @default.
- W2063669010 citedByCount "31" @default.
- W2063669010 countsByYear W20636690102012 @default.
- W2063669010 countsByYear W20636690102013 @default.
- W2063669010 countsByYear W20636690102014 @default.
- W2063669010 countsByYear W20636690102016 @default.
- W2063669010 countsByYear W20636690102017 @default.
- W2063669010 countsByYear W20636690102022 @default.
- W2063669010 crossrefType "journal-article" @default.
- W2063669010 hasAuthorship W2063669010A5018952300 @default.
- W2063669010 hasAuthorship W2063669010A5034318371 @default.
- W2063669010 hasConcept C124101348 @default.
- W2063669010 hasConcept C138885662 @default.
- W2063669010 hasConcept C153180895 @default.
- W2063669010 hasConcept C154945302 @default.
- W2063669010 hasConcept C172367668 @default.
- W2063669010 hasConcept C2776401178 @default.
- W2063669010 hasConcept C36464697 @default.
- W2063669010 hasConcept C41008148 @default.
- W2063669010 hasConcept C41895202 @default.
- W2063669010 hasConcept C59740354 @default.
- W2063669010 hasConcept C73555534 @default.
- W2063669010 hasConcept C80444323 @default.
- W2063669010 hasConcept C83665646 @default.
- W2063669010 hasConceptScore W2063669010C124101348 @default.
- W2063669010 hasConceptScore W2063669010C138885662 @default.
- W2063669010 hasConceptScore W2063669010C153180895 @default.
- W2063669010 hasConceptScore W2063669010C154945302 @default.
- W2063669010 hasConceptScore W2063669010C172367668 @default.
- W2063669010 hasConceptScore W2063669010C2776401178 @default.
- W2063669010 hasConceptScore W2063669010C36464697 @default.
- W2063669010 hasConceptScore W2063669010C41008148 @default.
- W2063669010 hasConceptScore W2063669010C41895202 @default.
- W2063669010 hasConceptScore W2063669010C59740354 @default.
- W2063669010 hasConceptScore W2063669010C73555534 @default.
- W2063669010 hasConceptScore W2063669010C80444323 @default.
- W2063669010 hasConceptScore W2063669010C83665646 @default.
- W2063669010 hasIssue "6" @default.
- W2063669010 hasLocation W20636690101 @default.
- W2063669010 hasOpenAccess W2063669010 @default.
- W2063669010 hasPrimaryLocation W20636690101 @default.
- W2063669010 hasRelatedWork W1601013498 @default.
- W2063669010 hasRelatedWork W165066414 @default.
- W2063669010 hasRelatedWork W1929506496 @default.
- W2063669010 hasRelatedWork W2013728941 @default.
- W2063669010 hasRelatedWork W2154046714 @default.
- W2063669010 hasRelatedWork W2923661510 @default.
- W2063669010 hasRelatedWork W4205869444 @default.
- W2063669010 hasRelatedWork W4225274103 @default.
- W2063669010 hasRelatedWork W72145384 @default.
- W2063669010 hasRelatedWork W1486114612 @default.
- W2063669010 hasVolume "27" @default.
- W2063669010 isParatext "false" @default.
- W2063669010 isRetracted "false" @default.
- W2063669010 magId "2063669010" @default.
- W2063669010 workType "article" @default.