# To doUnlike Kmeans algrithm, Hirachical clustering or hcluster does not require a prior number of clusters. It iteratively merges (agglomerative or bottom up approach) into less and less clusters starting from each points being a cluster on its own, or separate the data point (divisive or top-down approach) to create more and more clusters starting from one clsuter containing all data points.
a. Apply Hirachical cluster on the previously simulated dataset.
+Unlike Kmeans algrithm, Hierarchical clustering or hcluster does not require a prior number of clusters. It iteratively merges (agglomerative or bottom up approach) into less and less clusters starting from each points being a cluster on its own, or separate the data point (divisive or top-down approach) to create more and more clusters starting from one clsuter containing all data points.
a. Apply Hierarchical cluster on the previously simulated dataset.
# To do