K-means and adaptive k-means algorithms for clustering DNS traffic.
Qinghui XuDaniel MigaultStéphane SénécalStanislas FrancfortPublished in: VALUETOOLS (2011)
Keyphrases
- k means
- data clustering
- center based clustering
- clustering algorithm
- clustering quality
- clustering method
- clustering approaches
- agglomerative hierarchical clustering
- bisecting k means
- spectral clustering
- cluster analysis
- self organizing maps
- document clustering
- hierarchical clustering
- rough k means
- unsupervised clustering
- squared euclidean distance
- classical clustering algorithms
- adaptive algorithms
- fuzzy k means
- constrained clustering
- sufficient statistics
- text clustering
- expectation maximization
- single link
- hierarchical clustering algorithms
- initial cluster centers
- consensus clustering
- validity indices
- hierarchical clustering methods
- kohonen self organizing maps
- high dimensional
- learning algorithm
- clustering framework
- synthetic and real datasets
- categorical data
- fuzzy c means
- data structure
- intrusion detection
- text mining
- computational complexity