Artificial bee colony-based fuzzy c means (ABC-FCM) segmentation algorithm and dimensionality reduction for leaf disease detection in bioinformatics.
S. K. Pravin KumarSumithra Manimegalai GovindanN. SaranyaPublished in: J. Supercomput. (2019)
Keyphrases
- fuzzy c means
- artificial bee colony
- segmentation algorithm
- image segmentation
- dimensionality reduction
- optimization algorithm
- artificial bee colony algorithm
- swarm intelligence
- fuzzy clustering
- multi objective
- genetic algorithm ga
- fuzzy c means algorithm
- fcm algorithm
- differential evolution
- motif discovery
- multiobjective optimization
- fcm clustering
- euclidean distance
- clustering algorithm
- graph cuts
- region growing
- clustering method
- combinatorial optimization
- input image
- data mining
- segmentation method
- principal component analysis
- control parameters
- k means
- fuzzy c means clustering algorithm
- job shop scheduling problem
- machine learning
- membership functions
- high dimensional
- feature extraction
- image processing
- segmentation result
- cluster analysis
- region merging
- possibilistic c means
- high dimensional data
- artificial immune system
- markov random field
- data points
- feature space
- data analysis
- computer vision