Clustering Boundary Cutting for Packet Classification Based on Distribution Density.
Xia-an BiYanwen ZhouJianping YuPublished in: ISPA/IUCC (2017)
Keyphrases
- unsupervised learning
- clustering method
- supervised classification
- decision trees
- classification accuracy
- pattern classification
- pattern recognition
- classification method
- unsupervised clustering
- support vector
- k means
- text classification
- density function
- classification scheme
- high dimensional data
- density estimation
- support vector machine svm
- cluster analysis
- high dimensionality
- supervised learning
- clustering analysis
- unsupervised classification
- clustering algorithm
- feature selection
- data clustering
- spectral clustering
- hierarchical clustering
- fuzzy clustering
- document clustering
- data points
- feature extraction
- arbitrary shape
- neural network
- density based clustering algorithm
- distance metric
- classification algorithm
- class labels
- model selection
- dimensionality reduction
- support vector machine
- probability distribution
- feature vectors
- learning algorithm