A data partition strategy for dimension reduction
Based on the idea that different data contributes differently to dimension reduction, we propose a weighted affinity propagation strategy to partition the data into representative data and common data. The representative data have dominant features while the common data have less importance. In the...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
AIMS Press
2020-06-01
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Series: | AIMS Mathematics |
Subjects: | |
Online Access: | https://www.aimspress.com/article/10.3934/math.2020301/fulltext.html |