A survey report of different technique or component for dimensionality reduction in data science
| Autor: | Devi Sangeeta, Saran Munish, Kumar Rajan, Nath Tripathi Upendra |
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| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | i-manager’s Journal on Software Engineering. 17:38 |
| ISSN: | 2230-7168 0973-5151 |
| Popis: | To train a machine learning model using a data record which has multiple properties, is typically a difficult task. The development of over fitting of the susceptible model and the growth of model characteristics are always inversely correlated. Since not all of the traits are always significant, this observation was made, and for instance, several attributes might merely make the data noisier. Techniques for dimensionality reduction are employed to address this issue. In this paper we have also discussed the different approaches and techniques of dimensionality reduction techniques. |
| Databáze: | OpenAIRE |
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