ai with python unsupervised learningaiclustering unsupervised machine learning algorithms do not have any supervisor to provide any sort of guidance that is why they are closely aligned with what some call true artificial intelligence in unsupervised learningthere would be no correct answer and no teacher for the guidance algorithms need to discover the interesting pattern in data for learning what is clusteringbasicallyit is type of unsupervised learning method and common technique for statistical data analysis used in many fields clustering mainly is task of dividing the set of observations into subsetscalled clustersin such way that observations in the same cluster are similar in one sense and they are dissimilar to the observations in other clusters in simple wordswe can say that the main goal of clustering is to group the data on the basis of similarity and dissimilarity for examplethe following diagram shows similar kind of data in different clustersalgorithms for clustering the data following are few common algorithms for clustering the datak-means algorithm -means clustering algorithm is one of the well-known algorithms for clustering the data we need to assume that the numbers of clusters are already known this is also called flat clustering it is an iterative clustering algorithm the steps given below need to be followed for this algorithm