C-Rella, Jorge2024-07-152024-07-152024Jorge, C. (2024). CABRA: Clustering algorithm based on regular arrangement. Operations Research Letters, 107137. https://doi.org/10.1016/j.orl.2024.1071370167-6377 (print)1872-7468 (electronic)http://hdl.handle.net/2183/38006[Abstract]: Clustering is an unsupervised learning technique for organizing complex datasets into coherent groups. A novel clustering algorithm is presented, with a simple grouping concept depending on only one hyperparameter, which makes it suitable for further extensions to any topology and space. It is compared to state-of-the-art algorithms, overall achieving a better performance independently on the structure and complexity of the data, making the proposed algorithm a valuable tool for real applications such as market segmentation, sentiment analysis and anomaly detection.engAtribución 4.0 Internacional (CC-BY)http://creativecommons.org/licenses/by/3.0/es/ClusteringSegmentationClassificationOutlier detectionCABRA: Clustering algorithm based on regular arrangementjournal articleopen access10.1016/j.orl.2024.107137