Study of distance metrics on k - nearest neighbor algorithm for star categorization Article Swipe
Swathi Nayak
,
Manisha Bhat
,
N. V. Subba Reddy
,
B. Ashwath Rao
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1088/1742-6596/2161/1/012004
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1088/1742-6596/2161/1/012004
Classification of stars is essential to investigate the characteristics and behavior of stars. Performing classifications manually is error-prone and time-consuming. Machine learning provides a computerized solution to handle huge volumes of data with minimal human input. k-Nearest Neighbor (kNN) is one of the simplest supervised learning approaches in machine learning. This paper aims at studying and analyzing the performance of the kNN algorithm on the star dataset. In this paper, we have analyzed the accuracy of the kNN algorithm by considering various distance metrics and the range of k values. Minkowski, Euclidean, Manhattan, Chebyshev, Cosine, Jaccard, and Hamming distance were applied on kNN classifiers for different k values. It is observed that Cosine distance works better than the other distance metrics on star categorization.
Related Topics
Concepts
Jaccard index
k-nearest neighbors algorithm
Minkowski distance
Hamming distance
Euclidean distance
Star (game theory)
Computer science
Artificial intelligence
Pattern recognition (psychology)
Categorization
Algorithm
Trigonometric functions
Distance measures
Euclidean geometry
Range (aeronautics)
Metric (unit)
Mathematics
Operations management
Materials science
Geometry
Mathematical analysis
Composite material
Economics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1088/1742-6596/2161/1/012004
- OA Status
- diamond
- Cited By
- 43
- References
- 18
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4205952436
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4205952436Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1088/1742-6596/2161/1/012004Digital Object Identifier
- Title
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Study of distance metrics on k - nearest neighbor algorithm for star categorizationWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
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2022Year of publication
- Publication date
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2022-01-01Full publication date if available
- Authors
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Swathi Nayak, Manisha Bhat, N. V. Subba Reddy, B. Ashwath RaoList of authors in order
- Landing page
-
https://doi.org/10.1088/1742-6596/2161/1/012004Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
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https://doi.org/10.1088/1742-6596/2161/1/012004Direct OA link when available
- Concepts
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Jaccard index, k-nearest neighbors algorithm, Minkowski distance, Hamming distance, Euclidean distance, Star (game theory), Computer science, Artificial intelligence, Pattern recognition (psychology), Categorization, Algorithm, Trigonometric functions, Distance measures, Euclidean geometry, Range (aeronautics), Metric (unit), Mathematics, Operations management, Materials science, Geometry, Mathematical analysis, Composite material, EconomicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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43Total citation count in OpenAlex
- Citations by year (recent)
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2025: 6, 2024: 23, 2023: 13, 2022: 1Per-year citation counts (last 5 years)
- References (count)
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18Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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