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Using the Kth Nearest Neighbor Clustering Procedure to Determine the Number of Subpopulations
Hardcover
DatabasesGeneral ScienceProbability & Statistics
ISBN13: 9781024220209
Publisher: Hutson Street Press
Published: May 22 2025
Pages: 42
Weight: 0.53
Height: 0.25 Width: 6.14 Depth: 9.21
Language: English
This work explores the application of the Kth Nearest Neighbor clustering procedure as a method for determining the number of subpopulations within a dataset. Authored by M. Anthony Wong and Christian Schaak, this study delves into the statistical and computational aspects of using nearest neighbor techniques to identify and delineate distinct groups within complex data. The research provides insights into the practical use of this clustering approach, offering a valuable tool for researchers and practitioners in fields requiring robust data segmentation and analysis. The methods and findings presented can aid in a more accurate understanding of population structures and facilitate informed decision-making based on data-driven insights.
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Using the Kth Nearest Neighbor Clustering Procedure to Determine the Number of Subpopulations
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