We discuss high-dimensional data analysis in the framework of pattern recognition and machine learning, including single-component analysis and clustering analysis. Several boosting methods for tackling imbalances in sample sizes are investigated.
CITATION STYLE
Komori, O., & Eguchi, S. (2019). Machine Learning Methods for Imbalanced Data (pp. 45–55). https://doi.org/10.1007/978-4-431-55570-4_5
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