Title

Local And Global Structures Preserving Projection

Abstract

In this paper, we propose Local and Global Structures Preserving Projection (LGSPP), which is to find a small set of projection directions so as to properly preserve the local and global structures for a given set of data. Specifically, for each point in the dataset, its local neighborhood is extracted as well as a set of sampled points far away from this point, which characterize the global structure. The embedding minimizes the distances of the points in each local neighborhood while dispersing them far apart from their corresponding remote points. In this way, the local-global relationships between data points are well kept. © 2007 IEEE.

Publication Date

12-1-2007

Publication Title

Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI

Volume

2

Number of Pages

362-365

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/ICTAI.2007.145

Socpus ID

48649109093 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/48649109093

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