Local Affine Multidimensional Projection
| Autor: | José Alberto Cuminato, Fernando V. Paulovich, Paulo Joia, Luis Gustavo Nonato, Danilo Barbosa Coimbra |
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| Rok vydání: | 2011 |
| Předmět: |
Theoretical computer science
business.industry Computer science computer.software_genre Computer Graphics and Computer-Aided Design Data visualization Signal Processing Multidimensional projection Computer Vision and Pattern Recognition Affine transformation Data mining business computer MECÂNICA DOS FLUÍDOS COMPUTACIONAL Software |
| Zdroj: | Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual) Universidade de São Paulo (USP) instacron:USP ResearcherID |
| ISSN: | 1077-2626 |
| DOI: | 10.1109/tvcg.2011.220 |
| Popis: | Multidimensional projection techniques have experienced many improvements lately, mainly regarding computational times and accuracy. However, existing methods do not yet provide flexible enough mechanisms for visualization-oriented fully interactive applications. This work presents a new multidimensional projection technique designed to be more flexible and versatile than other methods. This novel approach, called Local Affine Multidimensional Projection (LAMP), relies on orthogonal mapping theory to build accurate local transformations that can be dynamically modified according to user knowledge. The accuracy, flexibility and computational efficiency of LAMP is confirmed by a comprehensive set of comparisons. LAMP's versatility is exploited in an application which seeks to correlate data that, in principle, has no connection as well as in visual exploration of textual documents. |
| Databáze: | OpenAIRE |
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