(default=SC) --features Feature groups. whiten(data) # Perform k means on all ... The 'centroid' and 'median' methods can produce a cluster tree that is not .... Sep 10, 2019 — Replace missing values with mean/median/mode ... In which of the following cases will K-means clustering fail to give good results? ... Data science, machine learning, python, R, big data, spark, the Jupyter notebook, and .... Which of the following is required by K-means clustering? a) defined distance met