Asian Journal of Computer Science and Technology (AJCST)
Airline Traffic Analysis Using Clustering Method in R LanguageAuthor : S.Thanganila, T. Keerthana and P.Tamilzhchelvi
Volume 8 No.2 Special Issue:March 2019 pp 7-8
In this paper, we analyze the airlines traffic in R using k-means clustering algorithm to avoid traffic in airlines. Clustering is the process of grouping data, where grouping is recognized by discovering similarities between data based on their features. K-Means algorithm is applied to get results and to predict before any problem arise in airline traffic. R takes too much time to load huge amount of data and sometimes does not support to upload huge volume of datasets. So, to avoid this space and time complexity, we have used Google Cloud.
Cluster Analysis, Airline Data, K-Means Algorithm, Google Cloud
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