An intelligent and improved density and distance-based clustering approach for industrial survey data classification.
Jingjing ZhongPeter W. TseYiheng WeiPublished in: Expert Syst. Appl. (2017)
Keyphrases
- survey data
- unsupervised learning
- feature extraction
- classification accuracy
- unsupervised classification
- unsupervised clustering
- pattern recognition
- industrial applications
- high dimensionality
- k means
- support vector
- decision trees
- clustering method
- text classification
- supervised classification
- clustering analysis
- classification method
- classification algorithm
- clustering algorithm
- support vector machine
- feature vectors
- feature space
- neural network
- feature selection
- hierarchical clustering
- spectral clustering
- dimension reduction
- cluster analysis
- outlier detection
- image classification
- data points
- data analysis