Multidimensional Balance-Based Cluster Boundary Detection for High-Dimensional Data.
Xiaofeng CaoBaozhi QiuXiangli LiZenglin ShiGuandong XuJianliang XuPublished in: IEEE Trans. Neural Networks Learn. Syst. (2019)
Keyphrases
- boundary detection
- high dimensional data
- subspace clustering
- data points
- dimensionality reduction
- low dimensional
- variable weighting
- high dimensionality
- nearest neighbor
- high dimensional
- high dimensions
- data sets
- data analysis
- cluster structure
- image segmentation
- object detection and recognition
- input space
- similarity search
- subspace clusters
- data distribution
- original data
- dimension reduction
- high dimensional spaces
- clustering algorithm
- data clustering
- berkeley segmentation dataset
- lower dimensional
- multi dimensional
- manifold learning
- sparse representation
- text data
- high dimensional data sets
- dimensional data
- cluster analysis
- detection algorithm
- clustering high dimensional data
- cluster centers
- image data
- pattern recognition
- input data
- image processing