@article{MAKHILLJEAS2017122415310,
    title = {A Review on Hierarchical Clustering Algorithms},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {12},
    number = {24},
    pages = {7501-7507},
    year = {2017},
    issn = {1816-949x},
    doi = {jeasci.2017.7501.7507},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2017.7501.7507},
    author = {Vijaya,Aayushi and},
    keywords = {Clustering,data mining,hierarchical clustering algorithms,partitioning,construction,splitting},
    abstract = {Clustering is the process of grouping the datasets into various clusters such that the variations
within the clusters are very small but between the clusters are remarkable. Clustering has a wide application field
like data concept construction, simplification, pattern recognition, etc. Clustering methods are mainly classified
into two groups, hierarchical and partitioning. The hierarchical clustering method defines the hierarchy of
clusters by splitting and merging them whereas partitioning method involves defining partitions and their
evaluation based on some criteria. Thus, clustering algorithms chosen need to be efficient. This study focuses
on different types of hierarchical clustering algorithms as well as various advanced clustering algorithms based
on hierarchical clustering. It also discusses their strengths and weaknesses in detail.}
    }