Building Nonlinear Regression Models for Estimating the Number of Clusters and Their Initial Centroids-Reference-Cited by-同舟云学术

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Building Nonlinear Regression Models for Estimating the Number of Clusters and Their Initial Centroids

Published:2023-10-19 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 18th International Conference on Computer Science and Information Technologies (CSIT)
language:
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Author:

Prykhodko Sergiy¹,Prykhodko Natalia²

Affiliation:

1. Admiral Makarov National University of Shipbuilding,Department of Software of Automated Systems,Mykolaiv,Ukraine

2. Admiral Makarov National University of Shipbuilding,Finance Department,Mykolaiv,Ukraine

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10323600/10323603/10324095.pdf?arnumber=10324095

Reference24 articles.

1. GBKM: A New Genetic Based K-Means Clustering Algorithm

2. Early size estimation of web apps created using codeigniter framework by nonlinear regression models

3. Statistical Analysis of Clustering Performances of NMF, Spectral Clustering, and K-means

4. Estimating the Size of Web Apps Created Using the CakePHP Framework by Nonlinear Regression Models with Three Predictors

5. Successive Binary Partition K-means Method for Clustering with Less Cluster Size Bias

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