Data Mining Techniques: New Method to Identify the Effects of Aquaculture Binder with Sardine on Diets of Juvenile Litopenaeus vannamei
Abstract
:1. Introduction
2. Materials and Methods
2.1. Experimental Design
2.2. Preparation of the Mixtures
2.3. Experimental Diets and Feeding
2.4. Growth Performances of Juvenile Shrimps
2.5. Nutritional Composition of Juvenile Shrimps
2.6. Statistical Analysis
K-Means Clustering Algorithm
- Partitioning—the training set is partitioned into K clusters according to the VMP rule.
- The new code vectors are the centroids of the clusters, calculated according to Equation .
- Convergence test—algorithm stop criterion.
3. Results and Discussion
3.1. Data Mining for Growth Performances of Juvenile Shrimps
3.2. Data Mining for Nutritional Composition of Juvenile Shrimps
4. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Guevara-Viejó, F.; Valenzuela-Cobos, J.D.; Grijalva-Endara, A.; Vicente-Galindo, P.; Galindo-Villardón, P. Data Mining Techniques: New Method to Identify the Effects of Aquaculture Binder with Sardine on Diets of Juvenile Litopenaeus vannamei. Sustainability 2022, 14, 4203. https://doi.org/10.3390/su14074203
Guevara-Viejó F, Valenzuela-Cobos JD, Grijalva-Endara A, Vicente-Galindo P, Galindo-Villardón P. Data Mining Techniques: New Method to Identify the Effects of Aquaculture Binder with Sardine on Diets of Juvenile Litopenaeus vannamei. Sustainability. 2022; 14(7):4203. https://doi.org/10.3390/su14074203
Chicago/Turabian StyleGuevara-Viejó, Fabricio, Juan Diego Valenzuela-Cobos, Ana Grijalva-Endara, Purificación Vicente-Galindo, and Purificación Galindo-Villardón. 2022. "Data Mining Techniques: New Method to Identify the Effects of Aquaculture Binder with Sardine on Diets of Juvenile Litopenaeus vannamei" Sustainability 14, no. 7: 4203. https://doi.org/10.3390/su14074203