Unsupervised learning

In this type of machine learning there is no need to supervise the model, instead the work is initiated on its own information, where it mainly deals with unlabelled data. Unsupervised learning algorithm gives better output while performing the complex tasks compared with supervised learning. It is more unpredictable and also it helps to find the unknown pattern in data. Mehta et al. (2015) studied the unsupervised machine learning algorithms on precision agricultural data. Figure 1.4 represents the unsupervised learning. Unsupervised learning can be categorized into clustering and association.