This chapter covers unsupervised machine learning. In unsupervised machine learning, you do not fragment data, rather you present the model with the entire data set and allow the model to discover patterns in the data on its own, without any supervision. Given that this chapter covers cluster analysis, it introduces the simplest unsupervised machine learning model, called k-means . The k-means method is easy to comprehend. When you’re conducting cluster analysis, there is no ...
© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2022
T. C. NokeriEconometrics and Data Sciencehttps://doi.org/10.1007/978-1-4842-7434-7_77. Clustering GNI Per Capita on a Continental Level
Tshepo Chris Nokeri1
(1)
Pretoria, South Africa
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