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

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.