A Method to Differentiate Degree of Volcanic Reservoir Fracture Development Using Conventional Well Logging Data - An Application of Kernel Principal Component Analysis (KPCA) and Multifractal Detrended Fluctuation Analysis (MFDFA).
Xinmin GeYiren FanXuejuan ZhuShaogui DengYang WangPublished in: IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2014)
Keyphrases
- kernel principal component analysis
- data analysis
- data sets
- missing data
- data points
- principal component analysis
- input data
- preprocessing
- support vector machine
- support vector machine svm
- subspace methods
- extracted features
- long range
- spectral clustering
- classification method
- clustering method
- training samples
- pairwise
- face recognition
- distance function
- discriminant analysis
- low dimensional
- principal components
- probabilistic model
- kernel pca
- support vector