An efficient k-means-type algorithm for clustering datasets with incomplete records.
Andrew LithioRanjan MaitraPublished in: Stat. Anal. Data Min. (2018)
Keyphrases
- k means
- clustering method
- clustering algorithm
- data clustering
- rough k means
- hierarchical clustering
- synthetic datasets
- fuzzy k means
- learning algorithm
- cluster analysis
- synthetic and real datasets
- clustering approaches
- expectation maximization
- computationally efficient
- clustering ensemble
- detection algorithm
- computational complexity
- unsupervised clustering
- search space
- spectral clustering
- cluster centers
- objective function
- noisy data
- optimal solution
- dynamic programming
- self organizing maps
- clustering quality
- document clustering
- affinity propagation
- fuzzy c means
- distance metric
- missing data
- segmentation algorithm
- particle swarm optimization
- simulated annealing
- np hard
- preprocessing