K Means Clustering Algorithm | K Means Example in Python | Machine Learning Algorithms

Typically, unsupervised algorithms make inferences from datasets using only input vectors without referring to known or labelled outcomes. AndreyBu, who has more than 5 years of machine learning. K-means clustering is a type of unsupervised learning, which is used when you have unlabeled data (i.e., data without defined categories or groups). The goal of this algorithm is to find groups in the data, with the number of groups represented by the variable K. The algorithm works iteratively to assign each data