A method of progression detection for glaucoma using K-means and the GLCM algorithm toward smart medical prediction.
S. VimalYesudhas Harold RobinsonMadasamy KaliappanKandasamy VijayalakshmiSanghyun SeoPublished in: J. Supercomput. (2021)
Keyphrases
- k means
- detection method
- detection algorithm
- clustering method
- computational cost
- cost function
- high accuracy
- preprocessing
- dynamic programming
- objective function
- computational complexity
- improved algorithm
- prediction algorithm
- prediction error
- segmentation algorithm
- significant improvement
- clustering algorithm
- data clustering
- tree structure
- segmentation method
- energy function
- line detection
- anti noise
- learning algorithm
- similarity measure
- probabilistic model
- matching algorithm
- convergence rate
- recognition algorithm
- hierarchical clustering
- input data
- support vector machine
- prediction model
- optimal solution
- grey level
- expectation maximization
- support vector machine svm
- spectral clustering
- simulated annealing
- optimization algorithm
- face detection
- unsupervised clustering
- image segmentation
- fuzzy clustering algorithm
- initial cluster centers