The Use of k-Means Algorithm to Compute the Line Spectrum Pair Frequencies with Tschirnhaus Transform.
Shi-Huang ChenMing-Lung HsuPublished in: IIH-MSP (2010)
Keyphrases
- k means
- experimental evaluation
- learning algorithm
- preprocessing
- dynamic programming
- clustering method
- detection algorithm
- optimization algorithm
- computational cost
- times faster
- search space
- theoretical analysis
- cost function
- np hard
- expectation maximization
- data clustering
- improved algorithm
- tree structure
- computationally efficient
- significant improvement
- clustering algorithm
- lower bound
- optimal solution
- computational complexity
- search algorithm
- line detection
- frequency domain
- high accuracy
- probabilistic model
- neural network
- similarity measure