High dimensional data clustering through fuzzy possibilistic C-means with symmetry-based distance measure.
B. Shanmuga PriyaM. PunithavalliPublished in: Int. J. Comput. Intell. Stud. (2013)
Keyphrases
- high dimensional data
- distance measure
- possibilistic c means
- clustering algorithm
- fuzzy c means
- possibilistic clustering
- subspace clustering
- euclidean distance
- dimensionality reduction
- cluster validity index
- low dimensional
- data points
- high dimensionality
- high dimensional
- data sets
- data analysis
- nearest neighbor
- fuzzy clustering
- similarity measure
- fcm algorithm
- clustering high dimensional data
- high dimensional spaces
- distance metric
- similarity search
- high dimensional datasets
- distance function
- high dimensional data sets
- clustering method
- clustering approaches
- cluster analysis
- manifold learning
- input data
- fuzzy sets
- linear discriminant analysis
- pattern recognition
- subspace learning
- fuzzy rules
- membership functions
- face recognition
- data mining