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A recursive method for the investigation of the linear separability of two sets

✍ Scribed by Adam Jóźwik

Book ID
107840159
Publisher
Elsevier Science
Year
1983
Tongue
English
Weight
219 KB
Volume
16
Category
Article
ISSN
0031-3203

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✍ Adi Ben-Israel; Yuri Levin 📂 Article 📅 2006 🏛 Elsevier Science 🌐 English ⚖ 158 KB

We study the geometry of datasets, using an extension of the Fisher linear discriminant to the case of singular covariance, and a new regularization procedure. A dataset is called linearly separable if its different clusters can be reliably separated by a linear hyperplane. We propose a measure of l