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Aeronautical Ad-Hoc Networking (AANET) aims to provide a dynamic, feasible, and sustainable communication system above the clouds. The fundamental function of AANETs is to transfer data via clustered aircraft network. However, the unstructured and ultra-dynamic characteristics of aircraft make clustering challenging in the AANET environment. Here, these two characteristics reduce the stability of AANET clusters by decreasing the connection life of air-to-air links between aircraft. Therefore, we should obtain more organized and structured clusters consisting of durable air-to-air links to increase the Internet connectivity success efficiency of AANETs. This paper proposes a customized K-means algorithm to cluster the aircraft in a more organized and structured form. This algorithm achieves this stability by considering the position (longitude-latitude), direction, angle, and altitude information during clustering …