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January 1, 2025International Journal of Computer Applications in TechnologyOpen Access

Study on high-dimensional biomedical data mining method based on K-Means clustering algorithm

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Key Points

The central aim is to evaluate the effectiveness of K-Means clustering in analyzing high-dimensional biomedical data.
Application of K-Means clustering on high-dimensional datasets
Analysis of data organization through algorithm performance
Comparative evaluation of clustering efficiency
K-Means clustering demonstrates efficient organization of complex biomedical data
High-dimensional data shows improved patterns and insights post-clustering

Implication

This research analyzes biomedical data mining outcomes using the K-Means clustering algorithm, suggesting better data organization.

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Cite This Study

Octavia Panum (2025) studied this question.

synapsesocial.com/papers/699e920af5123be5ed04ff06 https://doi.org/10.1504/ijcat.2025.10076481

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