Image Form of the SECOM Dataset

Name: Image Form of the SECOM Dataset
Creator: Jianwei Zhao
License: https://creativecommons.org/licenses/by/4.0/
Keywords: Artificial Intelligence, Image Processing, Machine Learning

Citation Author(s):: Jianwei
Zhao
Submitted by:: John Zhao
Last updated:: Fri, 03/13/2020 - 11:39
DOI:: 10.21227/jkvr-n656
License:: Creative Commons Attribution

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Categories:: Artificial Intelligence
Image Processing
Machine Learning

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Abstract

The original dataset SECOM is obtained from the the UC Irvine Machine Learning Repository (https://archive.ics.uci.edu/ml/datasets/secom). Then, each
sample is transformed to an image, with each pixel representing a feature. Therefore, image processing mechanisms such as convolutionary neural networks can be utilized for classification.