K-Means Clustering Algorithm
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
Based on the scores, students are categorized into grades like A, B, or C.
The medical profession uses k-means in creating smarter medical decision support systems, especially in the treatment of liver ailments.
Clustering forms a backbone of search engines. When a search is performed, the search results need to be grouped, and the search engines very often use clustering to do this.
Wireless sensor networks
The clustering algorithm plays the role of finding the cluster heads, which collects all the data in its respective cluster.