Improving the Clustering Performance of the Scanning n-Tuple Method by Using Self-Supervised Algorithms to Introduce Subclasses.
George TambouratzisPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2002)
Keyphrases
- clustering method
- significant improvement
- theoretical analysis
- computationally efficient
- computational cost
- computational efficiency
- recently developed
- high accuracy
- computational complexity
- pairwise
- dynamic programming
- optimization problems
- similarity function
- preprocessing
- objective function
- search methods
- highly efficient
- synthetic and real datasets
- nearest neighbor algorithm
- segmentation method
- optimization method
- classification algorithm
- data clustering
- hierarchical clustering
- unsupervised learning
- learning algorithm
- genetic algorithm
- data sets