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POFCM: A Parallel Fuzzy Clustering Algorithm for Large Datasets.
- Published in:
- Mathematics (2227-7390), 2023, v. 11, n. 8, p. 1920, doi. 10.3390/math11081920
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Application of Data Science for Cluster Analysis of COVID-19 Mortality According to Sociodemographic Factors at Municipal Level in Mexico.
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- Mathematics (2227-7390), 2022, v. 10, n. 13, p. 2167, doi. 10.3390/math10132167
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- Article
Hybrid Fuzzy C-Means Clustering Algorithm, Improving Solution Quality and Reducing Computational Complexity.
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- Axioms (2075-1680), 2024, v. 13, n. 9, p. 592, doi. 10.3390/axioms13090592
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A New Criterion for Improving Convergence of Fuzzy C-Means Clustering.
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- Axioms (2075-1680), 2024, v. 13, n. 1, p. 35, doi. 10.3390/axioms13010035
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- Article
Hybrid Fuzzy C-Means Clustering Algorithm Oriented to Big Data Realms.
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- Axioms (2075-1680), 2022, v. 11, n. 8, p. N.PAG, doi. 10.3390/axioms11080377
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- Article
Influence of Transfer Entropy in the Short-Term Prediction of Financial Time Series Using an ∊-Machine.
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- Entropy, 2022, v. 24, n. 8, p. 1049, doi. 10.3390/e24081049
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- Article
Correlation between mobility in mass transport and mortality due to COVID-19: A comparison of Mexico City, New York, and Madrid from a data science perspective.
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- PLoS ONE, 2022, v. 17, n. 3, p. 1, doi. 10.1371/journal.pone.0264713
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Balancing effort and benefit of K-means clustering algorithms in Big Data realms.
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- PLoS ONE, 2018, v. 13, n. 9, p. 1, doi. 10.1371/journal.pone.0201874
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- Article