Unsupervised feature selection and cluster center initialization based arbitrary shaped clusters for intrusion detection.
Mahendra PrasadSachin TripathiKeshav P. DahalPublished in: Comput. Secur. (2020)
Keyphrases
- intrusion detection
- arbitrary shaped
- unsupervised feature selection
- cluster centers
- k means
- data clustering
- cluster structure
- intrusion detection system
- clustering algorithm
- arbitrary shape
- anomaly detection
- feature selection
- fuzzy c means
- network security
- fuzzy clustering
- data mining
- packing problem
- cluster analysis
- data points
- dimensionality reduction
- spectral clustering
- image processing
- neural network
- machine learning
- text classification
- high dimensional
- feature space
- computer vision