Cluster identification with parallel coordinates
| Autor: | Chia-Shin Yeh, Shuo-Yan Chou, Shih-Wei Lin |
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| Rok vydání: | 1999 |
| Předmět: |
Theoretical computer science
Computer science Coordinate system Visualization law.invention Identification (information) Artificial Intelligence law Duality (projective geometry) Signal Processing Cartesian coordinate system Computer Vision and Pattern Recognition Coordinate space Representation (mathematics) Algorithm Software Parallel coordinates |
| Zdroj: | Pattern Recognition Letters. 20:565-572 |
| ISSN: | 0167-8655 |
| DOI: | 10.1016/s0167-8655(99)00018-5 |
| Popis: | In this paper, the visualization of multi-dimensional data with the parallel coordinate representation is studied. A particular problem of interest is the identification of lines to which clusters of points are close in an n-dimensional space. By using the duality between the Cartesian and the parallel coordinate systems, a scan-line approach in the parallel coordinate system is established and implemented to aid the identification of such lines. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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