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Chakrabarti et al., 2021 - Google Patents

Unsupervised feature selection for efficient exploration of high dimensional data

Chakrabarti et al., 2021

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Document ID
4879335259980290268
Author
Chakrabarti A
Das A
Cochez M
Quix C
Publication year
Publication venue
European Conference on Advances in Databases and Information Systems

External Links

Snippet

The exponential growth in the ability to generate, capture, and store high dimensional data has driven sophisticated machine learning applications. However, high dimensionality often poses a challenge for analysts to effectively identify and extract relevant features from …
Continue reading at research.vu.nl (PDF) (other versions)

Classifications

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    • G06F17/30587—Details of specialised database models
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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