Integrated Dimensionality Reduction Technique for Mixed Data Involving Categorical Values

Chung-Chian Hsu and Wei-Hao Huang
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Chung-Chian Hsu: National Yunlin University of Science and Technology Yunlin, Taiwan
Wei-Hao Huang: National Yunlin University of Science and Technology Yunlin, Taiwan

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Abstract: An extension to the recent dimensionality-reduction technique t-SNE is proposed. The extension facilitates t-SNE to handle mixed-type datasets. Each attribute of the data is associated with a distance hierarchy which allows the distance between numeric values and between categorical values be measured in a unified manner. More importantly, domain knowledge regarding semantic distance between categorical values can be specified in the hierarchy. Consequently, the extended t-SNE can reflect topological order of the high-dimensional, mixed data in the low-dimensional space.

Keywords: information technology; dimensionality reduction; categorical data; t-SNE (search for similar items in EconPapers)
Date: 2014
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