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What is Hierarchical Clustering Explained about?
Hierarchical clustering is a method that organizes data into a tree-like structure of clusters, with two main types: divisive (top-down) and agglomerative (bottom-up). It utilizes various distance measurement methods such as single, complete, and average linkage to determine cluster relationships, often visualized through a dendrogram. Additionally, fuzzy C-means clustering allows for soft clustering where data points can belong to multiple clusters with varying degrees of membership, controlled by a parame
- Author
- muskanasad128
- Language
- EN