The correct answer is FALSE. Hierarchical clustering is a type of clustering algorithm that builds a hierarchy of clusters. It is a slower algorithm than non-hierarchical clustering, but it is more flexible and can be used to find clusters of different shapes and sizes. Non-hierarchical clustering is a type of clustering algorithm that does not build a hierarchy of clusters. It is a faster algorithm than hierarchical clustering, but it is less flexible and can only find clusters of a specific shape and size.
Hierarchical clustering is a slower algorithm than non-hierarchical clustering because it builds a hierarchy of clusters. This means that it has to consider all possible pairs of data points and compare them to see if they should be grouped together. This can be a very time-consuming process, especially for large datasets. Non-hierarchical clustering does not build a hierarchy of clusters. Instead, it starts with each data point in its own cluster and then merges clusters until all of the data points are in one cluster. This is a much faster process than hierarchical clustering, but it is less flexible. Non-hierarchical clustering can only find clusters of a specific shape and size. Hierarchical clustering, on the other hand, can find clusters of any shape and size.
In conclusion, hierarchical clustering is a slower algorithm than non-hierarchical clustering, but it is more flexible and can be used to find clusters of different shapes and sizes. Non-hierarchical clustering is a faster algorithm than hierarchical clustering, but it is less flexible and can only find clusters of a specific shape and size.