Murty, M and Avinash, M (2023) Representation Using Linear Combinations. [Book Chapter]
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Official URL: https://doi.org/10.1007/978-981-19-7908-8_4
Abstract
This chapter deals with linear representations. Here, each new feature is a linear combination of the given input features. Even feature selection may be viewed as a special case of the linear representation schemes. We specifically consider, in this chapter, various types of feature selection schemes, principal components, random projections and non-negative matrix factorization.
Item Type: | Book Chapter |
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Publication: | SpringerBriefs in Computer Science |
Publisher: | Springer |
Additional Information: | The copyright for this article belongs to Springer. |
Keywords: | Feature Selection; Matrix algebra, Features selection; Input features; Linear combinations; Linear representation; Nonnegative matrix factorization; Principal Components; Random projections; Representation schemes; Selection scheme, Non-negative matrix factorization |
Department/Centre: | Division of Electrical Sciences > Computer Science & Automation |
Date Deposited: | 19 May 2023 07:21 |
Last Modified: | 19 May 2023 07:21 |
URI: | https://eprints.iisc.ac.in/id/eprint/81582 |
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