Cohesive clustering algorithm based on high-dimensional generalized Fermat points.
Tong LiXiujuan WangHao ZhongPublished in: Inf. Sci. (2022)
Keyphrases
- high dimensional
- clustering algorithm
- data points
- low dimensional
- arbitrary shape
- point sets
- multi dimensional
- similarity search
- data clustering
- feature space
- clustering method
- subspace clustering
- computer vision
- hierarchical clustering
- noisy data
- high dimensionality
- distances between data points
- feature points
- nearest neighbor
- k means
- point correspondences
- microarray data
- keypoints
- high dimensional data
- input space
- fuzzy c means
- dimensionality reduction
- cluster centers
- sparse data
- sample points