Prediction of Floor Water Bursting Based on Combining Principal Component Analysis and Support Vector Machine.
Beizhan LiuLiang BingPublished in: ACFIE (2010)
Keyphrases
- principal component analysis
- support vector machine
- stock market prediction
- dimension reduction methods
- meteorological data
- prediction accuracy
- dimensionality reduction
- principal components
- air temperature
- feature selection
- training procedure
- prediction model
- multi class
- training data
- prediction error
- combining multiple
- feature space
- feature extraction
- covariance matrix
- linear discriminant analysis
- independent component analysis
- small sample
- dimension reduction
- data mining
- k nearest neighbor
- support vector
- relative humidity
- remote homology detection
- svm classification
- discriminant analysis
- ensemble classifier
- lower dimensional
- decision boundary
- kernel function
- low dimensional
- artificial neural networks
- face recognition
- machine learning