Analysis of patterns, Andean species, reserves, Chimborazo, Sangay, k-means method, clustering
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Abstract
Over the years, researchers have recognized the importance of studying the moors and their conservation, both for their impact on the provision of water for cities, as well as their tourism potential and biodiversity. The objective of the present investigation is to conduct an analysis of patterns present in the characteristics of the different species of the Andean region of the Chimborazo and Sangay National Park reserves. For the analysis, 67 samples of different species were collected in both reserves, of which measurements of leaves, plants and flowers were made, subsequently, non-supervised machine learning algorithms called k-means clustering were applied using Python as the programming language . At the end of the species grouping process, it resulted in obtaining three categories according to the relationship between the characteristics of each species, two components being the most important for categorization, these were the height of the plant as well as The height of the leaf.
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