Local-Topology-Based Scaling for Distance Preserving Dimension Reduction Method to Improve Classification of Biomedical Data-Sets

Local-Topology-Based Scaling for Distance Preserving Dimension Reduction Method to Improve Classification of Biomedical Data-Sets

Dimension reduction is often used for several procedures of analysis of high dimensional biomedical data-sets such as classification or outlier detection. To improve the performance of such data-mining steps, preserving both distance information and local topology among data-points could be more use...

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Bibliographic Details
Main Authors: Karaj Khosla, Indra Prakash Jha, Ajit Kumar, Vibhor Kumar
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Algorithms
Subjects:
dimension reduction
distance preserving
local topology
multidimensional scaling (MDS)
Online Access:https://www.mdpi.com/1999-4893/13/8/192

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https://www.mdpi.com/1999-4893/13/8/192

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