INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Feature selection is a critical step in data analysis, particularly for high-dimensional datasets where the number of features can be very large. Feature selection aims to identify a subset of relevant features that can accurately represent the underlying patterns and relationships in the data while removing irrelevant and redundant features that may add noise and increase computational complexity. This paper provides an overview of various feature selection techniques for high- dimensional data, including filter, wrapper, and embedded methods. We discuss the advantages and limitations of each approach and guide on selecting the most appropriate technique for a given dataset. We also discuss the challenges and open research questions in feature selection for high-dimensional data, including the scalability of algorithms, the curse of dimensionality, and the impact of feature interactions. Overall, this paper highlights the importance of feature selection for high-dimensional data and provides a useful guide for researchers and practitioners in the field.
Keywords:
data selections, feature selection
Cite Article:
"Feature selection for high dimensional data", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 4, page no.g171-g174, April-2023, Available :http://www.ijnrd.org/papers/IJNRD2304623.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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