Cluster Center Initialization and Outlier Detection Based on Distance and Density for the K-Means Algorithm.
Qi HeZhenxiang ChenKe JiLin WangKun MaChuan ZhaoYuliang ShiPublished in: ISDA (1) (2018)
Keyphrases
- k means
- cluster centers
- outlier detection
- detection algorithm
- clustering algorithm
- distance based outlier detection
- data clustering
- clustering method
- high dimensional datasets
- feature extraction
- expectation maximization
- unsupervised learning
- density based clustering
- cluster analysis
- data mining
- low dimensional
- similarity measure
- image segmentation
- computer vision
- information retrieval