An efficient k-means-type algorithm for clustering datasets with incomplete records.
Andrew LithioRanjan MaitraPublished in: CoRR (2018)
Keyphrases
- k means
- data clustering
- clustering algorithm
- clustering method
- synthetic and real datasets
- fuzzy k means
- unsupervised clustering
- clustering approaches
- rough k means
- hierarchical clustering
- clustering quality
- spectral clustering
- optimal solution
- computational complexity
- clustering analysis
- cluster centers
- affinity propagation
- neural network
- cluster analysis
- computationally efficient
- expectation maximization
- worst case
- preprocessing
- synthetic and real life datasets
- bisecting k means
- synthetic datasets
- incomplete data
- fuzzy c means
- detection algorithm
- np hard
- learning algorithm