Big Feature Data Analytics: Split and Combine Linear Discriminant Analysis (SC-LDA) for Integration Towards Decision Making Analytics.
Jasmine Kah-Phooi SengKenneth Li-Minn AngPublished in: IEEE Access (2017)
Keyphrases
- linear discriminant analysis
- data analytics
- big data
- decision making
- business intelligence
- discriminant features
- discriminant analysis
- face recognition
- principal component analysis
- data analysis
- dimensionality reduction
- feature extraction
- small sample size
- dimension reduction
- feature space
- gabor features
- cloud computing
- support vector
- high dimensional data
- data mining
- locality preserving projections
- support vector machine svm
- open source
- null space
- unstructured data
- decision makers
- discriminative information
- social media
- feature vectors
- decision support
- subspace methods
- data management
- data warehousing
- knowledge discovery
- data mining techniques
- case study
- image processing
- scatter matrix
- text mining
- independent component analysis
- internet search
- scatter matrices
- real world
- fisher criterion
- discriminant information
- nonparametric discriminant analysis