Abstract: There is a demand for effective clustering methods, especially given the increasing complexity of data scenarios in modern applications. Motivated by the limitations of traditional ...
As distribution companies absorb electric vehicle (EV) load growth, aging assets, extreme weather and a decarbonizing grid, ...
Interestingly, ChatGPT showed adaptability in correcting errors. In earlier iterations, the model occasionally left nodes ...
Abstract: Density peaks clustering (DPC) is an excellent clustering algorithm that does not need any prior knowledge. However, DPC still has the following shortcomings: (1) The Euclidean distance used ...
A canonical problem in computer science is to find the shortest route to every point in a network. A new approach beats the ...
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