Question: Choose all the incorrect/false answers Standardizing variables is not necessary for KMeans clustering The elbow method can be used to determine the best number of

Choose all the incorrect/false answers

Choose all the incorrect/false answers Standardizing variables is not necessary for KMeans clustering The elbow method can be used to determine the best number of clusters In KMeans an observation can belong to more than one cluster Increasing the number of clusters increases the usefulness of the clusters Question 5 Choose all the correct/true answers Principal Component Analysis is a dimensionality reduction tool PCA can be used to visualize a high dimensional dataset in a reduced number of dimensions Each Principal Component can be used to explain some portion of variance in our dataset The maximum number of Principal Components would be the same number as columns in the dataset

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