Abstract: In the world of science there are high-level, moderate-level, and low-level emerging countries. The indicators are an investment in research and development (I&D), number of universities, investment, researchers, intellectual production, expenditure on education, gross domestic product (PBI), and quality of life (IDH). In Methodology, it is basic, explanatory, of conglomerates. There are 37 countries analyzed. The data comes from the FMI, datosmacro.com, UNESCO, URWU. There are 11 indicators. These are data taken in two stages, 2006 and 2019. The Results shows R2= 0.9887, which explains the behavior of the PBI by the investment in I&D. The positive and significant relationship between IDH and PBI per capita, which is 0.824, is transcendent. In conclusion, there are three clusters with clearly differentiated indicators. Peru’s problem is structural in that it does not have a per capita PBI of $ 30,000 per person or more. Investment in I&D in Peru is low and PBI is also low. Therefore, countries with higher investments in science have high PBIs and better IDH.

Javier Pedro Flores Arocutipa, Jorge Jinchuña Huallpa, Julio César Lujan Minaya, Ruth Daysi Cohaila Quispe, Juan Luna Carpio and Gamaniel Carbajal Navarro, “Structural Limitations with K Means Algorithms in Research in Perú” International Journal of Advanced Computer Science and Applications(IJACSA), 12(7), 2021. http://dx.doi.org/10.14569/IJACSA.2021.0120708

@article{Arocutipa2021,
title = {Structural Limitations with K Means Algorithms in Research in Perú},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2021.0120708},
url = {http://dx.doi.org/10.14569/IJACSA.2021.0120708},
year = {2021},
publisher = {The Science and Information Organization},
volume = {12},
number = {7},
author = {Javier Pedro Flores Arocutipa and Jorge Jinchuña Huallpa and Julio César Lujan Minaya and Ruth Daysi Cohaila Quispe and Juan Luna Carpio and Gamaniel Carbajal Navarro}
}