A novel approach for extracting ideal exemplars by clustering for massivetime-ordered datasets.
Ömer Faruk ErtugrulPublished in: Turkish J. Electr. Eng. Comput. Sci. (2017)
Keyphrases
- clustering method
- clustering algorithm
- k means
- high dimensional datasets
- synthetic datasets
- clustering approaches
- synthetic and real datasets
- data clustering
- data mining tasks
- cluster analysis
- uci machine learning repository
- self organizing maps
- outlier detection
- document clustering
- categorical data
- unsupervised learning
- feature selection
- hierarchical clustering
- high dimensional data
- subspace clustering
- website
- machine learning
- data sets