Pairwise Constraints Multidimensional Scaling for Discriminative Feature Learning

Pairwise Constraints Multidimensional Scaling for Discriminative Feature Learning

As an important data analysis method in the field of machine learning and data mining, feature learning has a wide range of applications in various industries. The traditional multidimensional scaling (MDS) maintains the topology of data points in the low-dimensional embeddings obtained during featu...

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Bibliographic Details
Main Authors: Linghao Zhang, Bo Pang, Haitao Tang, Hongjun Wang, Chongshou Li, Zhipeng Luo
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Mathematics
Subjects:
discriminative feature learning
multidimensional scaling
fuzzy k-means
pairwise constraint propagation
iterative majorization algorithm
Online Access:https://www.mdpi.com/2227-7390/10/21/4059

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https://www.mdpi.com/2227-7390/10/21/4059

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