Data Science PRIn this tutorial, we introduce the two major types of clustering: Flat and Hierarchical. Then we explain the Dendrogram, a visualization of hierarchical clustering.
What is Flat Clustering?
Flat clustering is where the scientist tells the machine how many categories to cluster the data into. Hierarchical. Hierarchical clustering is where the machine is allowed to decide how many clusters to create based on its own algorithms.
What is Hierarchical Clustering?
Hierarchical clustering, also known as hierarchical cluster analysis, is an algorithm that groups similar objects into groups called clusters. The endpoint is a set of clusters, where each cluster is distinct from each other cluster, and the objects within each cluster are broadly similar to each other.
What is a Dendrogram Graph?
A dendrogram is a diagram that shows the hierarchical relationship between objects. It is commonly created as an output from hierarchical clustering.
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