DOE-AND-SCA: A Novel SCA Based on DNN With Optimal Eigenvectors and Automatic Cluster Number Determination

DOE-AND-SCA: A Novel SCA Based on DNN With Optimal Eigenvectors and Automatic Cluster Number Determination

Spectral clustering algorithm (SCA) is one of the widely used clustering algorithms (CAs), which is proved to be efficient in many applications including unsupervised image identification and gene prediction. However, most SCAs are confronted with several problems: 1) It is difficult for SCAs to han...

Full description

Bibliographic Details
Main Authors: Jinyin Chen, Yangyang Wu, Xiang Lin, Qi Xuan
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Spectral clustering algorithm
dynamic nearest-neighbors
automatic cluster number determination
optimal eigenvector
parameter self-adaptive
image recognition
Online Access:https://ieeexplore.ieee.org/document/8290691/

Internet

https://ieeexplore.ieee.org/document/8290691/

Similar Items