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The most common algorithm adopted for Wi-Fi fingerprinting is weighted K-nearest neighbors (WKNN), which calculates K-nearest neighboring points to a mobile user. However, existing WKNN cannot effectively address the problems that there is a difference in observed AP sets during offline and online stages and also not all the K neighbors are physically close to the user. In this paper, similarity coefficient is used to measure the similarity of AP sets, which is then combined with radio signal strength values to calculate the fingerprint distance. In addition, isolated points are identified and removed before clustering based on semi-supervised affinity propagation. Real-world experiments are conducted on a university campus and results show the proposed approach does outperform existing approaches. <\/jats:p>","DOI":"10.1155\/2015\/109642","type":"journal-article","created":{"date-parts":[[2015,1,20]],"date-time":"2015-01-20T21:00:42Z","timestamp":1421787642000},"page":"109642","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":41,"title":["Improving Wi-Fi Indoor Positioning via AP Sets Similarity and Semi-Supervised Affinity Propagation Clustering"],"prefix":"10.1177","volume":"11","author":[{"given":"Xuke","family":"Hu","sequence":"first","affiliation":[{"name":"Faculty of Information Engineering, China University of Geosciences, Wuhan 430074, China"},{"name":"National Engineering Research Center for Geographic Information System, Wuhan 430074, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7571-8015","authenticated-orcid":false,"given":"Jianga","family":"Shang","sequence":"additional","affiliation":[{"name":"Faculty of Information Engineering, China University of Geosciences, Wuhan 430074, China"},{"name":"National Engineering Research Center for Geographic Information System, Wuhan 430074, China"}]},{"given":"Fuqiang","family":"Gu","sequence":"additional","affiliation":[{"name":"Faculty of Information Engineering, China University of Geosciences, Wuhan 430074, China"},{"name":"National Engineering Research Center for Geographic Information System, Wuhan 430074, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5856-383X","authenticated-orcid":false,"given":"Qi","family":"Han","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering and Computer Science, Colorado School of Mines, Golden, CO 80401, USA"}]}],"member":"179","published-online":{"date-parts":[[2015,1,20]]},"reference":[{"key":"B1-2015-109642","doi-asserted-by":"publisher","DOI":"10.1109\/INFCOM.2000.832252"},{"key":"B2-2015-109642","first-page":"75","volume-title":"Proceedings of the 9th International Conference on Network and Service Management (CNSM '13)","author":"Radu V."},{"key":"B3-2015-109642","doi-asserted-by":"publisher","DOI":"10.3390\/ijgi2030854"},{"key":"B4-2015-109642","doi-asserted-by":"publisher","DOI":"10.1016\/j.comcom.2011.12.011"},{"key":"B5-2015-109642","first-page":"89","volume-title":"Proceedings of the 2nd International Conference on Software Technology","volume":"19","author":"Lee J.-Y."},{"key":"B6-2015-109642","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2011.216"},{"key":"B7-2015-109642","unstructured":"Au A. 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