@inbook{15eff5028a944586a147843ae8e62180,
title = "Time Series Analysis of Oceanographic Data Using Clustering Algorithms",
abstract = "With the availability of huge data sets in device fields like finances to weather, it becomes very important to quality analysis and interprets the results. In such scenario K-Means and DBSCAN clustering algorithms are used for effective data grouping to get insight into the hidden structure in the data. In this paper focus on the application of clustering to ocean data observations. An attempt is made to correlate the resulting clusters to the variability focused during cyclones.",
author = "\{Santosh Kumar\}, \{D. J.\} and Vighneshwar, \{S. P.\} and Mishra, \{Tusar Kanti\} and Jampana, \{Satya V.\}",
note = "Publisher Copyright: {\textcopyright} Springer Nature Singapore Pte Ltd. 2017.",
year = "2017",
doi = "10.1007/978-981-10-3226-4\_24",
language = "English",
series = "Lecture Notes in Networks and Systems",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "245--252",
booktitle = "Lecture Notes in Networks and Systems",
address = "Germany",
}