K Means Clustering, Hierarchical Clustering, Machine Learning, Dendrogram, Silhouette Score.
clustering tends to be more computationally expensive compared to k-means clustering. K-means clustering has a time complexity of O(n * k * i * d), where n is the number of data points, k is the number of clusters, i is the number of iterations, and d is the number of dimensions. K-means is an