Adaptive k-means algorithm with error-weighted deviation measure.
Chedsada ChinrungruengCarlo H. SéquinPublished in: ICNN (1993)
Keyphrases
- k means
- preprocessing
- learning algorithm
- computational complexity
- linear complexity
- experimental evaluation
- clustering method
- times faster
- data clustering
- genetic algorithm
- high accuracy
- probabilistic model
- computational cost
- np hard
- cost function
- similarity measure
- hierarchical clustering
- relative entropy
- weighted distance
- error rate
- simulated annealing
- optimization algorithm
- expectation maximization
- dynamic programming
- detection algorithm
- matching algorithm
- segmentation algorithm
- error bounds
- prediction error
- significant improvement
- search space
- clustering algorithm
- minimum error