BACKGROUND: Mental stress-induced myocardial ischemia is often clinically silent and associated with increased cardiovascular risk, particularly in women. Conventional ECG-based detection is limited, ...
Abstract: The K-nearest neighbors (kNNs) algorithm, a cornerstone of supervised learning, relies on similarity measures constrained by real-number-based distance metrics. A critical limitation of ...
The WMKNNDPC algorithm can identify clusters with arbitrary shapes, densities, and sizes, and it offers two major contributions: (1) It defines mutual K-nearest neighbors based on K-nearest neighbors ...
ABSTRACT: The objective of this work is to determine the true owner of a land—public or private—in the region of Kumasi (Ghana). For this purpose, we applied different machine learning methods to the ...
A Pew Research Center survey suggests that they may like you more than you realize. By Arnesa A. Howell Whether you’re in a city, a suburb or a rural area, living among people you trust can mean the ...
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Build K-Nearest Neighbors from Scratch in Python
No libraries, no shortcuts—understand the core of KNN by building it step by step using just Python. GOP Calls for Investigation into Federal Card Charges How much cash to keep in your checking ...
Introduction: The health status of bearings is an essential prerequisite to ensure the safe and stable operation of vehicles. However, the negative impact of covariate shifts among data channels on ...
ABSTRACT: To ensure the efficient operation and timely maintenance of wind turbines, thereby enhancing energy security, it is critical to monitor the operational status of wind turbines and promptly ...
Each implementation is optimized for its respective computing paradigm while maintaining classification accuracy.
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