Clustering applications of IFDBSCAN algorithm with comparative analysis.
Mustafa UnverNihal ErginelPublished in: J. Intell. Fuzzy Syst. (2020)
Keyphrases
- k means
- comparative analysis
- clustering method
- theoretical analysis
- cost function
- linear programming
- data clustering
- computational complexity
- simulated annealing
- high accuracy
- computational cost
- learning algorithm
- experimental evaluation
- detection algorithm
- convergence rate
- optimization algorithm
- np hard
- significant improvement
- clustering algorithm
- preprocessing
- objective function
- fuzzy clustering
- synthetic datasets
- expectation maximization
- worst case
- dynamic programming
- search space
- image sequences
- computationally efficient
- ant colony optimization
- information theoretic
- times faster
- data structure
- optimal solution
- similarity measure
- data sets