Unsupervised reduction of the dimensionality followed by supervised learning with a perceptron improves the classification of conditions in DNA microarray gene expression data.
Lucía CondeÁlvaro MateosJavier HerreroJoaquín DopazoPublished in: NNSP (2002)
Keyphrases
- supervised learning
- unsupervised learning
- microarray gene expression data
- learning algorithm
- machine learning
- class labels
- training data
- feature space
- training set
- training samples
- high dimensionality
- semi supervised
- semi supervised learning
- support vector
- active learning
- reinforcement learning
- pattern recognition
- gene expression data
- labeled data
- text classification
- decision trees
- classification accuracy
- model selection
- support vector machine
- cancer classification
- feature selection
- dimensionality reduction
- feature vectors
- data analysis
- microarray datasets
- feature extraction