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)
The most well-known and often used clustering technique is the k-means algorithm. The literature has a number of k-means extensions that have been proposed. The k-means technique and its extensions are always influenced by initializations with a necessary number of clusters a priori, despite the fact that clustering in pattern recognition and machine learning is an unsupervised learning process. The K-means clustering technique, among many others, is popular due to its straightforward algorithm and quick convergence. Traditional database querying techniques fall short of obtaining usable data from vast data repositories. One of the main approaches for analyzing data is cluster analysis, and the K-means clustering algorithm is frequently utilised in many real-world situations. The original k-means algorithm, however, requires a lot of computer power, hence the quality.
Keywords:
Algorithm, Machine Learning, Data Analysis, Clustering, k-means Algorithm, Unsupervised learning, etc.
Cite Article:
"Unsupervised K-Means Clustering Algorithm Analysis", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.7, Issue 12, page no.c33-c40, December-2022, Available :http://www.ijnrd.org/papers/IJNRD2212206.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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