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@article{145144,
        author = {Chandra Kumar Nimmana and G Prasanna Kumar and Manoj Kumar Pakki},
        title = {Hierarchy Of Governance Stations (Cities) Determination Using Agglomerative Hierarchical Clustering},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {4},
        number = {7},
        pages = {528-535},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=145144},
        abstract = {In governmental administration from the Centre to the State and State to the Districts and Districts to the villages, we often find hindrances due to non-optimal structural location of governmental offices. The inconvenient distances sometimes pose a bottleneck problem to smooth administration. However such problems can be avoided if we choose the Structural Administrative Offices location optimally. This research is to find the Structural Coordinate Determination For Optimal Administrative Offices Stationing Using Agglomerative Hierarchical Clustering.  Needless to mention, such Hierarchy found is to be mimicked as the Hierarchy for Governmental Administration. From the Cluster Dendrogram, we can note the hierarchical gradation based on the distance between the cities. Such a hierarchical gradation can be used for efficient governance.},
        keywords = {Hierarchical Agglomerative Clustering, Latitude, Longitude},
        month = {},
        }