A Hyperparameter-Free, Fast and Efficient Framework to Detect Clusters From Limited Samples Based on Ultra High-Dimensional Features

A Hyperparameter-Free, Fast and Efficient Framework to Detect Clusters From Limited Samples Based on Ultra High-Dimensional Features

Clustering is a challenging problem in machine learning in which one attempts to group <inline-formula> <tex-math notation="LaTeX">$N$ </tex-math></inline-formula> objects into <inline-formula> <tex-math notation="LaTeX">$K_{0}$ </tex-math&g...

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Bibliographic Details
Main Authors: Shahina Rahman, Valen E. Johnson, Suhasini Subba Rao
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Clustering
gram matrix
high-dimensional features
hyperparameter-free
Online Access:https://ieeexplore.ieee.org/document/9934902/

Internet

https://ieeexplore.ieee.org/document/9934902/

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