Sparse Clustering Algorithm Based on Multi-Domain Dimensionality Reduction Autoencoder

• Published in: Mathematics (Basel) Vol. 12; no. 10; p. 1526
• Main Authors: Kang, Yu, Liu, Erwei, Zou, Kaichi, Wang, Xiuyun, Zhang, Huaqing
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.05.2024
• Subjects: Algorithms; Analysis; Clustering; Data analysis; Data points; Decomposition; Deep learning; high dimensional; Information management; Methods; multi-domain; Neural networks; Reconstruction; Regularization; Sparsity; Spatial distribution

The key to high-dimensional clustering lies in discovering the intrinsic structures and patterns in data to provide valuable information. However, high-dimensional clustering faces enormous challenges such as dimensionality disaster, increased data sparsity, and reduced reliability of the clustering...