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)
In machine learning, the clustering approach is used to classify related data points or objects of a sizable dataset and is frequently applied in various fields, including image analysis, bioinformatics, and research fields like economics and biology. It is crucial to understand the initial parameters before clustering since patterns from any clustering algorithm depend on those parameters. Although there are various clustering techniques, we will concentrate on k-means grouping in this study which serves as the quickest and easiest. We focus on approaches for figuring out how many clusters are needed as clustering inputs. We can request in advance from end users that they submit the number of groups of the data point, but this is not practical because the end user needs to have knowledge regarding each dataset. There are numerous tackles that may be utilized for this, but we only concentrate on a few recent proposed and some widely used techniques.
Keywords:
Number of clusters, k means, elbow method, silhouette, gap statistics, non parametric, curvature based method
Cite Article:
"Review on Deciding Optimal Number of Clusters in k-means Clustering", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.b307-b313, May-2023, Available :http://www.ijnrd.org/papers/IJNRD2305143.pdf
Downloads:
000118751
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
Facebook Twitter Instagram LinkedIn