Sparse kernel entropy component analysis for dimensionality reduction of biomedical data.
Jun ShiQikun JiangQi ZhangQinghua HuangXuelong LiPublished in: Neurocomputing (2015)
Keyphrases
- component analysis
- biomedical data
- sparse kernel
- dimensionality reduction
- knowledge driven
- factor analysis
- data mining methods
- principal component analysis
- high dimensional
- high dimensionality
- life sciences
- high dimensional data
- feature extraction
- feature selection
- pattern recognition
- low dimensional
- blind source separation
- feature space
- multiple kernel learning
- systems biology
- unsupervised learning
- support vector machine
- data points
- sparse representation
- microarray
- decision trees
- linear discriminant analysis
- data fusion
- machine learning
- text classification
- active learning
- learning algorithm
- information retrieval