Explain Agglomerative Hierarchical Clustering with the help of a suitable example.

Agglomerative Hierarchical Clustering is a technique used in Digital Image Processing and Computer Vision to group similar data points into clusters based on their proximity. This method starts with each data point considered as an individual cluster and iteratively merges __________ ____ _____ ________ _______.
________ ______ ___ ________ __________ _______ _____.
_________ ________ ______ __________ _________ _____ ___ ___ _______ ____ ____.
_________ __________ ___ _______ __________ __________ _____ _______ __________ _______ __________.
_____ ______ ___ ________ ______ ________ _______ ____ ________ __________ _________.
________ _______ __________ ______ _________.
_______ ____ _____ _____ ____ _____ ___ __________ ____ ________ __________ __________.
__________ _______ _____ __________ ________ ______ _______ __________ ________ _________ _________.
_______ __________ _________ ________ _____.
__________ _________ ______ ____ ____ ____.
_______ __________ _________ _______ ____ ____ ___ _______ ____ _________.
_________ _____ _____ _________ ____ _______ ______ _____ ________.
________ ______ ______ _________ _______ __________ _________ _____ _________ _____ ____.
_____ ________ ________ ___ ____ _________ ______ ___.
______ ____ ___ _________ _________ _____ ________ _______.
_____ ____ ____ ____ _________.
_______ ______ ________ _________ _______ ___ ______.
_______ ______ _________ _________ _______ ________ ________ _______ _______ _________.
_______ ____ ____ _____ ______ ____ _______ ___ ________.
______ __________ __________ ____ ___ ___ ___ ________ _______ ___ __________.
_______ _______ __________ ____ ____ ___ _______ ____ ______ ________ ___.
_________ _____ ___ _____ _________ _________ ___ __________ _____.
_______ _________ ____ ______ _____ __________ ______ _________ _____.
__________.
Get Full Answer on WhatsApp