Non-linear statistical technique applied to data from baboon articular cartilage
| Autor: | D.S. Hickey, M. Warskyj |
|---|---|
| Rok vydání: | 1990 |
| Předmět: |
Cartilage
Articular Multivariate analysis Health Informatics k-nearest neighbors algorithm Pattern Recognition Automated biology.animal Animals Mathematical Computing Mathematics Biological data Analysis of Variance biology business.industry Pattern recognition Computer Science Applications Nonlinear system Data Interpretation Statistical Pattern recognition (psychology) Multivariate Analysis Analysis of variance Artificial intelligence business Software Algorithms Baboon Curse of dimensionality Papio |
| Zdroj: | Computer methods and programs in biomedicine. 32(2) |
| ISSN: | 0169-2607 |
| Popis: | Pattern recognition software was developed and applied together with statistical techniques to articular cartilage data from the knee joint of the baboon. The standard statistical method used for comparison was ANOVA which indicates linear discrimination. In addition a Karhunen-Loeve expansion was performed to reduce the dimensionality of the data and provide independent uncorrelated variables. Nearest neighbour analysis, a non-linear method, when combined with bionomial probabilities gave discrimination that was not obtained by ANOVA. Use of pattern recognition and related techniques can improve and extend the analysis of biological data to include non-linear discrimination and classification. |
| Databáze: | OpenAIRE |
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