The IP network engineering, management and control are highly benefited by Network traffic classification and application identifi¬cation. There are many popular methods available namely port-based and payload-based but they have shown some disadvantages, and the machine learning based method is a potential one. Unsupervised learning deals with a class of problems in which one seeks to determine how the data are organized. The difference between it and supervised learning in that the learner is given only unlabeled examples. Unsupervised learning is a way to form 'natural groupings' or clusters of patterns. Unsupervised learning is useful to the problem of density estimation in statistics. One form of unsupervised learning is clustering.

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Classification Clustering Machine Learning Semi Supervised Unsupervised Supervised