Theoretical Analysis of the $k$-Means Algorithm - A Survey.
Johannes BlömerChristiane LammersenMelanie SchmidtChristian SohlerPublished in: CoRR (2016)
Keyphrases
- semi supervised
- theoretical analysis
- k means
- clustering method
- expectation maximization
- high accuracy
- worst case
- dynamic programming
- segmentation algorithm
- computational cost
- improved algorithm
- detection algorithm
- experimental evaluation
- preprocessing
- motion estimation
- selection algorithm
- self organizing maps
- neural network
- learning algorithm
- optimization algorithm
- optimal solution
- computationally efficient
- computational complexity
- significant improvement
- np hard
- objective function
- linear programming
- times faster
- spectral clustering
- hierarchical clustering
- convergence rate
- data sets