Evaluation and use of clustering algorithms for standard penetration test data classification.
A. Burak GöktepeSelim AltunAlper SezerPublished in: Artif. Intell. Eng. Des. Anal. Manuf. (2015)
Keyphrases
- test data
- training set
- test cases
- clustering algorithm
- training data
- test set
- support vector
- unseen data
- unsupervised clustering
- feature selection
- training samples
- k means
- decision trees
- supervised learning
- machine learning
- feature extraction
- cross validation
- class distribution
- training and test data
- class labels
- machine learning algorithms
- simulated annealing
- feature vectors
- feature space