Visualizing Breast Cancer Data with t-SNE
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2013-08-28
Language
en
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Abstract
One in eight women will get breast cancer in her lifetime and in 2008 it has
caused 458.503 deaths among the world [15]. Despite that technology has made
considerable improvements in the last decades, there is still room for more advances. A technique that possibly can contribute to this field is t-SNE [24]. The
aim of this thesis is to investigate whether t-SNE is able to present the breast cancer
data in an interpretable way and possibly improves the classification performances.
We employ two approaches to explore the applicability of t-SNE. In the first approach we compare the visualizations and in the second approach the classification
performances are compared. We found that classification on the original data per-
formed significantly better than on t-SNE data. This suggests that t-SNE is not
applicable to the breast cancer data set.
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Faculteit der Sociale Wetenschappen