HIGHLIGHTS
- who: -k-means and collaborators from the (UNIVERSITY) have published the Article: Scalable and Efficient Clustering for Fingerprint-Based Positioning, in the Journal: (JOURNAL) of 15/02/2023
- what: This work proposes several clustering variants to optimize the coarse and fine-grained search and evaluates them over different clustering models and data sets. The authors provide guidelines to obtain efficient and accurate depending on the data set features. The authors show that the proposed new clustering variants reduce the execution time by half and the error by u2248 7% with respect to fingerprinting with the . . .
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