A Case Study of Hierarchical Clustering for Maritime Industry
Abstract
Data in the contemporary world has penetrated into every industry and is increasingly becoming a necessity in enterprises, simultaneously it has also become an important factor of production. Maritime transport is one of the most vital transport systems and maritime big data is attracting increase interest from both the industry and academia. In this paper, we present a case study using hierarchical clustering on a dataset about a vessel’s behavior during operations. We have also produced visually appealing graphs and charts to assist the data analysis.
Keywords
Big data, Machine learning, Hierarchical clustering
DOI
10.12783/dtmse/amsee2017/14300
10.12783/dtmse/amsee2017/14300
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