A Cheap Feature Selection Approach for the K-Means Algorithm.
Marco CapóAritz PérezJosé Antonio LozanoPublished in: IEEE Trans. Neural Networks Learn. Syst. (2021)
Keyphrases
- k means
- np hard
- preprocessing
- clustering method
- detection algorithm
- learning algorithm
- feature selection
- data clustering
- expectation maximization
- optimization algorithm
- selection algorithm
- objective function
- search space
- feature space
- cost function
- computational complexity
- dynamic programming
- multi class
- optimal solution
- simulated annealing
- segmentation algorithm
- classification algorithm
- rough k means
- matching algorithm
- low cost
- computational cost
- significant improvement