In unsupervised learning algorithm we don't supervise the model, but we let the model work on its own to discover information that may not br visible to the human eyes. It means, the unsupervised algorithm train on the dataset and draws conclusion on unlabelled data. Fig 1. Supervised VS Unsupervised Generally speaking, unsupervised algorithm has more difficult algorithms than supervised algorithm since  we know little to no information about the data, or the outcomes that are to be expected. This algorithm further grouped into Clustering and Association problems. As shown in below. Fig 2. Types of algorithm Mainly we'll focus about clustering algorithm. Now let's see more about Clustering. Clustering:      Fig 3.This is how cluster looks like It is an important concept when it comes to unsupervised learning algorithm. It mainly deals with finding a structure or pattern in a collection of uncategorised data. Clustering algorithm will process your data and find natural clu