Comparing the Feature Selection Using the Distributed Non-overlap Area Measurement Method with Principal Component Analysis.
Sang-Hong LeeDong-Kun ShinZhen-Xing ZhangJoon S. LimPublished in: ACIS-ICIS (2009)
Keyphrases
- feature selection
- high accuracy
- preprocessing
- mutual information
- dimension reduction
- detection method
- dynamic programming
- high precision
- principal component analysis
- multi class
- method for feature selection
- principal components
- covariance matrix
- clustering method
- feature set
- data sets
- support vector machine
- cost function
- pairwise
- feature space
- similarity measure
- significant improvement
- distributed systems
- unsupervised learning
- support vector
- objective function
- machine learning
- feature subset
- neural network