agglomerative hierarchical clustering example
Which of the following is an example of hierarchical clustering?
The agglomerative hierarchical clustering algorithm is a popular example of HCA.
To group the datasets into clusters, it follows the bottom-up approach.
It means, this algorithm considers each dataset as a single cluster at the beginning, and then start combining the closest pair of clusters together.Agglomerative: This is a "bottom-up" approach: Each observation starts in its own cluster, and pairs of clusters are merged as one moves up the hierarchy.
Divisive: This is a "top-down" approach: All observations start in one cluster, and splits are performed recursively as one moves down the hierarchy.
What is hierarchical clustering with examples?
Hierarchical clustering is separating data into groups based on some measure of similarity, finding a way to measure how they're alike and different, and further narrowing down the data.
For starters, we have four cars that we can put into two clusters of car types: sedan and SUV.
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