Comparative Study of Distance Measures for the Fuzzy C-means and K-means Non-Supervised Methods Applied to Image Segmentation.
Martín Vélez-FalconíJosué MarínSelena JiménezLorena Guachi-GuachiPublished in: ICAI Workshops (2020)
Keyphrases
- fuzzy c means
- comparative study
- distance measure
- k means
- image segmentation
- euclidean distance
- fuzzy clustering algorithm
- clustering algorithm
- fuzzy clustering
- clustering method
- fcm algorithm
- distance function
- supervised methods
- cluster analysis
- cluster centers
- kullback leibler divergence
- image processing
- expectation maximization
- spectral clustering
- similarity measure
- data points
- object segmentation
- kullback leibler