Adaptive Landmark-Based Spectral Clustering for Big Datasets

Adaptive Landmark-Based Spectral Clustering for Big Datasets

Clustering has emerged as an effective tool for the processing and assessment of the vast data generated by modern applications; its primary aim is to classify data into clusters in which the items are grouped into a given category. However, various challenges, such as volume, velocity, and variety,...

Full description

Bibliographic Details
Main Authors: Ahmed R. Abas, Mohamed G. Mahdy, Tarek M. Mahmoud
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Adaptive competitive learning neural network
big datasets
clustering
landmark-based spectral clustering
parallel processing
Online Access:https://ieeexplore.ieee.org/document/9450802/

Internet

https://ieeexplore.ieee.org/document/9450802/

Similar Items