A new validity clustering index-based on finding new centroid positions using the mean of clustered data to determine the optimum number of clusters.
Ahmed Khaldoon AbdalameerMohammed AlswaittiAhmed Adnan AlsudaniNor Ashidi Mat IsaPublished in: Expert Syst. Appl. (2022)
Keyphrases
- cluster centers
- data points
- data objects
- small number
- spectral clustering
- k means
- data sets
- clustering result
- clustering algorithm
- data mining tasks
- data sources
- data analysis
- knowledge discovery
- multi dimensional
- similarity matrix
- high dimensional data
- cluster structure
- categorical data
- data distribution
- fuzzy clustering
- cluster analysis
- database
- self organizing maps
- training data
- highly correlated
- clustering method
- data streams
- hierarchical clustering algorithm
- cluster centroids
- meaningful clusters
- simultaneous clustering