In hierarchical clustering, what does 'agglomerative' mean?

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Question: In hierarchical clustering, what does \'agglomerative\' mean?

Options:

Correct Answer: Clusters are formed by merging smaller clusters

Solution:

Agglomerative hierarchical clustering starts with each data point as its own cluster and merges them into larger clusters based on similarity.

In hierarchical clustering, what does 'agglomerative' mean?

In hierarchical clustering, what does 'agglomerative' mean?

Correct Answer: Agglomerative means starting with individual points and merging them.

Step 1: Understand that hierarchical clustering is a method of grouping data points based on their similarities.
Step 2: Know that 'agglomerative' means starting with individual data points as separate clusters.
Step 3: Realize that in agglomerative clustering, you look for the closest clusters and merge them together.
Step 4: Continue merging clusters until all data points are combined into one large cluster or until a desired number of clusters is reached.

Agglomerative Clustering – Agglomerative hierarchical clustering is a method that begins with individual data points as separate clusters and progressively merges them into larger clusters based on their similarity.