1. Home
2. Premium
3. IEEE ICASSP 2020 Virtual Conference May 2020
4. Improved Nearest Neighbor Density-Based Clustering Techniques With Application To Hyperspectral Images

Improved Nearest Neighbor Density-Based Clustering Techniques With Application To Hyperspectral Images

Collection:

IEEE ICASSP 2020 Virtual Conference May 2020

We consider the problem of density-based unsupervised classification in hyperspectral data. Our focus is especially on methods based on K nearest neighbors graph (KNN). In this paper, we propose some improvements of recently published methods in this vein

• IEEE MemberUS $11.00
• Society MemberUS $0.00
• IEEE Student MemberUS $11.00
• Non-IEEE MemberUS $15.00

Purchase

Videos in this product

Improved Nearest Neighbor Density-Based Clustering Techniques With Application To Hyperspectral Images

00:14:24

0 views

We consider the problem of density-based unsupervised classification in hyperspectral data. Our focus is especially on methods based on K nearest neighbors graph (KNN). In this paper, we propose some improvements of recently published methods in this vein