Comparative analysis of Gaussian mixture model, logistic regression and random forest for big data classification using map reduce

Research article (2016 11th International Conference on Industrial and Information Systems (ICIIS), 2016) · cited 13× · AI/ML
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Comparative analysis of Gaussian mixture model, logistic regression and random forest for big data classification using map reduce

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Comparative analysis of Gaussian mixture model, logistic regression and random forest for big data classification using map reduce is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Comparative analysis of Gaussian mixture model, logistic regression and random forest for big data classification using map reduce. Retrieved May 24, 2026, from https://4ort.xyz/entity/comparative-analysis-of-gaussian-mixture-model-logistic-regression-and-random-forest-for-big-data-classification-using-m
MLA “Comparative analysis of Gaussian mixture model, logistic regression and random forest for big data classification using map reduce.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/comparative-analysis-of-gaussian-mixture-model-logistic-regression-and-random-forest-for-big-data-classification-using-m.
BibTeX @misc{4ortxyz_comparative-analysis-of-gaussian-mixture-model-logistic-regression-and-random-forest-for-big-data-classification-using-m_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Comparative analysis of Gaussian mixture model, logistic regression and random forest for big data classification using map reduce}}, year = {2026}, url = {https://4ort.xyz/entity/comparative-analysis-of-gaussian-mixture-model-logistic-regression-and-random-forest-for-big-data-classification-using-m}, note = {Accessed: 2026-05-24}}
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