Local Dimensionality Reduction and Supervised Learning Within Natural Clusters for Biomedical Data Analysis.
Mykola PechenizkiyAlexey TsymbalSeppo PuuronenPublished in: IEEE Trans. Inf. Technol. Biomed. (2006)
Keyphrases
- dimensionality reduction
- supervised learning
- data analysis
- cluster analysis
- unsupervised learning
- high dimensional data
- data points
- input space
- machine learning
- high dimensional
- subspace clustering
- data clustering
- high dimensionality
- data representation
- clustering algorithm
- principal component analysis
- dimensionality reduction methods
- low dimensional
- labeled data
- principal components
- pattern recognition and machine learning
- manifold learning
- linear discriminant analysis
- semi supervised learning
- structure preserving
- data mining
- learning algorithm
- feature extraction
- training data
- real world
- biomedical images
- semi supervised
- learning tasks
- active learning
- training set
- reinforcement learning
- multi dimensional data
- life sciences
- statistical learning
- fuzzy clustering
- hierarchical clustering
- knowledge discovery
- business intelligence
- unlabeled data
- data warehouse
- data processing
- data collection
- fuzzy c means
- pattern recognition
- feature selection
- multiple instance learning
- kernel learning
- information extraction