Analysis of Hotspot Data for Drought Clustering Using K-Means Algorithm.
Ekki Rizki RamadhanEdi SutoyoAhmad MusnansyahHalda Aditya BelgamanPublished in: ICONETSI (2020)
Keyphrases
- k means
- spectral clustering
- cluster centers
- clustering algorithm
- clustering method
- clustering analysis
- data clustering
- clustering result
- data analysis
- data sets
- input data
- data points
- hierarchical clustering
- statistical analysis
- cluster analysis
- similarity matrix
- sufficient statistics
- clustering quality
- fuzzy k means
- self organizing maps
- learning algorithm
- detection algorithm
- missing data
- hierarchical clustering algorithm
- cluster structure
- data structure
- preprocessing
- synthetic datasets
- expectation maximization
- optimal solution
- multidimensional scaling
- noisy data
- training data
- hierarchical agglomerative clustering
- hierarchical clustering algorithms
- high dimensional data
- clustering approaches
- contingency tables
- constrained clustering
- objective function
- data reduction