Ensemble Clustering for Boundary Detection in High-Dimensional Data.
Panagiotis AnagnostouNicos G. PavlidisSotiris K. TasoulisPublished in: LOD (2) (2023)
Keyphrases
- high dimensional data
- boundary detection
- ensemble clustering
- matrix completion
- low rank
- supervised learning
- data clustering
- nearest neighbor
- low dimensional
- high dimensionality
- high dimensional
- dimensionality reduction
- data analysis
- data sets
- image segmentation
- subspace clustering
- detection algorithm
- consensus clustering
- missing values
- input space
- dimensional data
- data mining
- unsupervised learning
- high dimensional spaces
- clustering algorithm
- neural network
- text data
- kernel matrix
- image sequences
- singular values
- active learning
- gene expression data
- knn