Match the situation on the left with the clustering method on the right.

You have $300$ rows of data.

K$-$Means Clustering

$[$Choose$]$

You only have numerical data to work with.

Euclidean Distance

You want less sensitivity to outliers in the

data.

You want to experiment with different

ways to calculate the distance between

clusters.

Regression Analysis

Hierarchical Clustering

Matching Coefficient

$$ K$-$Means Clustering