%0 Journal Article %1 linde2024methodology %A Linde, H. von %A Riedel, Oliver %D 2024 %I Taylor & Francis %J International journal of production research %K %R 10.1080/00207543.2024.2384597 %T A methodology for evaluating feature selection and clustering methods with project-specific requirements

@article{linde2024methodology, added-at = {2025-01-28T11:00:56.000+0100}, affiliation = {von Linde, H (Corresponding Author), Fraunhofer Inst Engn IAO, Nobelstr 12, D-70569 Stuttgart, Germany. von Linde, H.; Riedel, O., Fraunhofer Inst Engn IAO, Nobelstr 12, D-70569 Stuttgart, Germany. Riedel, O., Univ Stuttgart, Inst Control Engn Machine Tools \& Mfg Units ISW, Stuttgart, Germany.}, affiliations = {University of Stuttgart}, author = {Linde, H. von and Riedel, Oliver}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2136666a34b6cda7119e0ba0dff4eb4c5/unibiblio}, doi = {10.1080/00207543.2024.2384597}, interhash = {2865168d49b2d3379d2ed380378521d5}, intrahash = {136666a34b6cda7119e0ba0dff4eb4c5}, issn = {{0020-7543} and {1366-588X}}, journal = {International journal of production research}, keywords = {}, language = {eng}, publisher = {Taylor & Francis}, pubstate = {prepublished}, research-areas = {Engineering; Operations Research \& Management Science}, timestamp = {2025-01-28T10:00:56.000+0100}, title = {A methodology for evaluating feature selection and clustering methods with project-specific requirements}, unique-id = {WOS:001282782700001}, year = 2024 }