If I were to have a dataset of 9 attributes of different types that describe current weather, such as temperature, humidity, etc., and want to classify the current weather by use of a k-NN algorithm, is this possible?
From what I understand, k-NN has two different attributes that are plotted, and, wherever a point is drawn, its nearest neighbors will classify it.
Could I do the same thing but each data point is placed based on its 9 attributes?