@inproceedings{512805cc09304d908105a093f111c94d,
title = "Understanding the Cotopaxi Volcano Activity with Clustering-Based Approaches",
abstract = "We explored four different clustering-based classifiers to categorize two different volcanic seismic events and to find possible overlapping signals that could occur at the same time or immediately after seismic events occurrence. The BFR classifier with k= 2 was chosen as the best out of 36 explored models statistically (p< 0.05 ), reaching a mean of accuracy score of 88 \%. This result represents a satisfactory and competitive classification performance when compared to the state of art methods. The CURE classifier with k= 3 achieved a mean of accuracy value of 87 \% at p< 0.05, allowing it to be the only model capable of detecting seismic events with overlapping signals. Therefore, the proposed clustering-based exploration was effective in providing competitive models for seismic events classification and overlapped signal detection.",
keywords = "Agglomerative, BFR, CURE, Clustering methods, Unsupervised learning, Volcanic seismic event categorization, k-means",
author = "Adri{\'a}n Duque and Kevin Gonz{\'a}lez and Noel P{\'e}rez and Ben{\'i}tez, \{Diego S.\}",
note = "Publisher Copyright: {\textcopyright} 2021, Springer Nature Switzerland AG.; 3rd IEEE Colombian Conference on Applications of Computational Intelligence, IEEE ColCACI 2020 ; Conference date: 07-08-2020 Through 08-08-2020",
year = "2021",
doi = "10.1007/978-3-030-69774-7\_1",
language = "Ingl{\'e}s",
isbn = "9783030697730",
series = "Communications in Computer and Information Science",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "3--15",
editor = "Orjuela-Ca{\~n}{\'o}n, \{Alvaro David\} and Jesus Lopez and Arias-Londo{\~n}o, \{Juli{\'a}n David\} and Figueroa-Garc{\'i}a, \{Juan Carlos\}",
booktitle = "Applications of Computational Intelligence - 3rd IEEE Colombian Conference, ColCACI 2020, Revised Selected Papers",
}