“Customer looking to replace 20-year-old furnace. No heat. Can’t afford a new system. Needs help.”“Has been clogged for about a week; yesterday it started getting bad. We were out there about a month ...
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 ...
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 ...
Dr. James McCaffrey presents a complete end-to-end demonstration of k-nearest neighbors regression using JavaScript. There are many machine learning regression techniques, but k-nearest neighbors is ...
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 ...
Abstract: The feature selection algorithm based on maximal nearest neighbor rough approximation can not only deal with the mixed data, but also avoid the choice of the parameter values in the feature ...
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