Consider using the frog’s species dataset (frogs_species.csv) for this discussion question. For this dataset, please do the following:
- Describe the dataset; its main features, labels, clusters, and usage.
- Select all features in the dataset then apply a K-means clustering algorithm with a different number of clusters.
- Evaluate the results of each run and create a chart that visualizes the results of each number of clusters.
- From your point of view, what is the best number of clusters and why?
Be sure to support your statements with logic and argument, using at least two professional or peer-reviewed articles and cite them to support your statements. Post your initial response early and check back often to continue the discussion