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Classification versus Clustering, Simplified in 5 mins!!!

Here we give a very short overview of Classification and Clustering algorithms. We like to keep the description as simple as possible. Machine learning can be subdivided into 2 categories, supervised learning and unsupervised learning. Classification falls under supervised learning, whereas clustering comes under unsupervised learning. For supervised learning, we know class labels of objects (particularly for training data), and for unsupervised it is unknown. There are many supervised learning techniques such as support vector machine (SVM), random forest (RF), Adaboost and so on. There are many unsupervised learning techniques as well namely, self-organizing maps, independent component analysis, hierarchical clustering, k-means and so on. For details about our research please visit: www.alok-ai-lab.com