Clusterization methods in detecting the restricted areas for sea transport

• Autorzy: Dramski M.
• Języki publikacji: EN

Abstrakty

EN

Clusterization is one of the data mining techniques which is responsible for classifying data. Selection of the proper parameters leads to some desired clusters behavior. Th is fact can be used in detecting the restricted areas for ships and other units. Th e allowed area can be marked as a data cluster and vice versa. Th e other advantage is the fact that each cluster consists of the set of points which can be used to fi nd the shortest path in given area. In this paper the use of clusterization in detecting restricted areas is described. Few methods are analyzed and the conclusions presented.

Słowa kluczowe

EN

data mining; clusterization; restricted area; shortest path

PL

eksploracja danych; klasteryzacja; obszar zastrzeżony; najkrótsza ścieżka

• Wydawca: Polskie Stowarzyszenie Telematyki Transportu
• Czasopismo: Archives of Transport System Telematics
• Rocznik: 2017
• Tom: Vol. 10, iss. 1
• Strony: 24--27
• Opis fizyczny: Bibliogr. 3 poz.

Twórcy

autor

Dramski M.

• Maritime University of Szczecin, Faculty of Navigation, Wały Chrobrego 1-2, 70-500 Szczecin, Poland

Bibliografia

• [1] DEZA E.: Encyclopedia of distances, Springer, p.94, 2009
• [2] HARTIGAN J.A., WONG M.A: A K-means clustering algorithm, Applied Statistics Vol. 28, No. 1, p. 100-108, 1979
• [3] CHENG Y.: Mean shift, mode seeking and clustering, IEEE Transactions on Pattern Analysis and Machine Intelligence 17(8) p. 790-799, 1995