A non-negative matrix factorization based clustering to identify potential tuna fishing zones

Fitrianah, Devi ORCID: https://orcid.org/0000-0001-5029-8149, Fahmi, Hisyam ORCID: https://orcid.org/0000-0002-2665-1536, Hidayanto, Achmad Nizar ORCID: https://orcid.org/0000-0002-5793-9460, Tan, Pang Ning ORCID: https://orcid.org/0000-0003-3205-0339 and Arymurthy, Aniati Murni (2021) A non-negative matrix factorization based clustering to identify potential tuna fishing zones. International Journal of Electrical and Computer Engineering, 11 (6). pp. 5458-5466. ISSN 2088-8708

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Abstract

Many nonnegative matrix factorization based clusterings are employed in discovering pattern and knowledge. Considering the sparseness nature of our data set about the daily tuna fishing data, we attempted to utilize a clustering approach, which is based on non-negative matrix factorization. Adding sparseness constraint and assigning good initial value in the modified NMF method, a proposed algorithm Direct-NMFSC yielded better result cluster compared to other methods which are also utilizing sparse constraint to their approaches, SNMF and NMFSC. The result of this study shows that Direct-NMFSC has 5.376 times of iteration number less than NMFSC in average with 531.97 as the CH index result. The determination of potential fishing zones is one of the essential efforts in the potential fishing zone mapping system for tuna fishing. By means of this novel data-driven study to construct the information and to identify the potential tuna fishing zones is done. We also showed that utilizing the Direct-NMFSC can spot and identify the potential tuna fishing zones presented in red cluster that covers both the spatial and temporal information.

Item Type:	Journal Article
Keywords:	Clustering; K-means; Nonnegative matrix factorization; Potential fishing zones
Subjects:	01 MATHEMATICAL SCIENCES > 0103 Numerical and Computational mathematics > 010399 Numerical and Computational Mathematics not elsewhere classified 08 INFORMATION AND COMPUTING SCIENCES > 0802 Computation Theory and Mathematics > 080299 Computation Theory and Mathematics not elsewhere classified
Divisions:	Faculty of Mathematics and Sciences > Department of Mathematics
Depositing User:	Hisyam Fahmi
Date Deposited:	03 Aug 2021 12:47

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