An efficient automated incremental density-based algorithm for clustering and classification.
Elham AzhirNima Jafari NavimipourMehdi HosseinzadehArash SharifiAso Mohammad DarweshPublished in: Future Gener. Comput. Syst. (2021)
Keyphrases
- k means
- clustering method
- classification algorithm
- learning algorithm
- clustering algorithm
- detection algorithm
- clustering analysis
- incremental learning
- incremental clustering
- unsupervised clustering
- single pass
- dynamic programming
- density based clustering
- preprocessing
- support vector machine svm
- distance metric
- subspace clustering
- data clustering
- computationally efficient
- unsupervised classification
- optimal solution
- incremental algorithms
- automated classification
- machine learning
- segmentation algorithm
- search space
- high efficiency
- classification method
- anomaly detection
- unsupervised learning
- active learning
- nearest neighbor algorithm
- training set
- neural network
- density based clustering algorithm
- combination of multiple classifiers