This practical evaluation selected two typical automotive manufacturing companies in South China—GAC Toyota Engine Plant and Dongfeng Nissan Engine Plant, both of which adopted the “air compressor ...

Abstract: Data stream mining is a research area that has grown enormously in recent years. The main challenge is extracting knowledge in real-time from a possibly unbounded data stream. Clustering, a ...

This study presents an approach to assess the prosperity of countries by integrating the K-means clustering algorithm with the ELECTRE III multi-criteria ranking method. Using data from the Prosperity ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Clustering techniques are consolidated as a powerful strategy for analyzing the ...

examples_distance.dat is one of the supplementary files in "Clustering by fast search and find of density peaks "sample.txt is an example dataset with 4000 instances ...

Abstract: This research study develops a web-based framework to compare clustering algorithms based on multiple datasets, assess the performance of algorithmic based on dataset characteristics and ...

ABSTRACT: Domaining is a crucial process in geostatistics, particularly when significant spatial variations are observed within a site, as these variations can significantly affect the outcomes of ...

HBCC is a clustering algorithm is inspired by the work of Peng et al. [4]. Their CDC algorithm detects regions that separate clusters by quantifying how spread out points' neighbors are in feature ...