Data Reduction in the String Space for Efficient kNN Classification Through Space Partitioning

Data Reduction in the String Space for Efficient kNN Classification Through Space Partitioning

Within the Pattern Recognition field, two representations are generally considered for encoding the data: <i>statistical</i> codifications, which describe elements as feature vectors, and <i>structural</i> representations, which encode elements as high-level symbolic data str...

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Bibliographic Details
Main Authors: Jose J. Valero-Mas, Francisco J. Castellanos
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Applied Sciences
Subjects:
string space
data reduction
<i>k</i>-Nearest neighbor
prototype generation
Online Access:https://www.mdpi.com/2076-3417/10/10/3356

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https://www.mdpi.com/2076-3417/10/10/3356

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