Hierarchical Clustering: A Survey

There is a need to scrutinise and retrieve information from data in today's world. Clustering an analytical technique which involves dividing into groups of similar objects. Every group called cluster, it formed objects that have affinities within the cluster but are significantly different other groups. The aim this paper look at compare two types hierarchical clustering algorithms. Partition main techniques. Hierarchical algorithm one algorithms discussed here. aforementioned described analysed terms factors such as dataset size, set type, number clusters formed, consistency, accuracy, efficiency. analysis aims create hierarchy clusters. A method simple (flat) methods arranged tree structure. These by recursively partitioning entities top-down or bottom-up manner. We examine paper. intent discussing various implementations assist new researchers beginners understand how they function, so can come up with approaches innovations for improvement.