1. Zou, G., Ma, L., Zhang, Z., Mo, Y.: An indoor positioning algorithm using joint information entropy based on WLAN fingerprint. In: Fifth International Conference on Computing, Communications and Networking Technologies (ICCCNT), Hefei, China (2014)
2. Liu, X., Zhang, S., Zhao, Q., Lin, X.: A real-time algorithm for fingerprint localization based on clustering and spatial diversity. In: International Congress on Ultra-Modern Telecommunications and Control Systems, Moscow, Russa (2010)
3. Li, K., Bigham, J., Tokarchuk, L., Bodanese, E.L.: A probabilistic approach to outdoor localization using clustering and principal component transformations. In: 2013 9th International Wireless Communications and Mobile Computing Conference (IWCMC), Italian, Sardinia (2013)
4. Feng, C., Au, W.S.A., Valaee, S., Tan, Z.: Received-signal-strength-based indoor positioning using compressive sensing. IEEE Trans. Mob. Comput. 11(12), 1983–1993 (2012)
5. Lee, C.W., Lin, T.N., Fang, S.H., Chou, Y.C.: A novel clustering-based approach of indoor location fingerprinting. In: 2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), London, England (2013)