Machine Learning

K-Means clustering is an unsupervised   machine learning algorithm which partitions n instances into k clusters by similarity. As K-Means clustering is an unsupervised learning algorithm, therefore instances will not have labels. As  K-Means clustering  is an unsupervised learning algorithm, training instances will not have labels. Furthermore, to make you understand K-Means clustering algorithm, I will […]

K-nearest neighbors algorithm is a machine learning algorithm which is used for classification and regression, and it can be applied where other machine learning algorithms are applied. See the typical problem setting , Suppose (x1, y1), (x2, y2), (x3, y3), ……………….(xn, yn) pairs in which x’s are attributes and y’s are labels, suppose another instance