数据分类:使用组合和非组合多维投影技术的降维

2018 7th Brazilian Conference on Intelligent Systems (BRACIS) Pub Date : 2018-10-01 DOI:10.1109/BRACIS.2018.00076

G. E. Rodrigues, Wilson Estécio Marcílio Júnior, D. M. Eler

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引用次数: 1

摘要

降维是一种常用的降低数据维数的方法。在这项工作中，我们使用组合投影技术作为降维算法验证了它在分类过程中的影响。我们还使用Naïve贝叶斯和SMO作为分类器。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Data Classification: Dimensionality Reduction Using Combined and Non-combined Multidimensional Projection Techniques

Dimensionality Reduction is a commonly used method to reduce the number of dimensions of data. In this work, we verified its influence in classification process using combinations of projection techniques as dimensionality reduction algorithms. We also used Naïve Bayes and SMO as classifiers.

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2018 7th Brazilian Conference on Intelligent Systems (BRACIS)

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