Local Dimensionality Reduction and Supervised Learning Within Natural Clusters for Biomedical Data Analysis.

Inductive learning systems were successfully applied in a number of medical domains. Nevertheless, the effective use of these systems often requires data preprocessing before applying a learning algorithm. This is especially important for multidimensional heterogeneous data presented by a large numb...

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Bibliographic Details

Published in:	IEEE Transactions on information technology in biomedicine 10, 3 (2006).
Main Author:	Pechenizkiy, M.
Format:	Article
Language:	English
Subjects:	Antibiotic resistance. Biomedical data analysis. Data preprocessing. Data-mining strategy. Dimensionality reduction. Feature extraction. Feature selection. Inductive learning system. Local dimensionality reduction. Microbiological data. Multidimensional heterogeneous data. Natural clustering-clustering. Natural clusters. Supervised learning.