Classification of Brain Signals in Mindfulness Meditation
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Abstract
In this paper we present an fundamental overview of the mindfulness meditation and the different types of classification also Support Vector Machines (SVMs) and K-Nearest Neighbour (KNN). SVMs are supervised learning machines that can be studied theoretically using ideas from computational learning theory while being able to acquire good fulfilment when applied to real-world problems. It contains the comparative study of results of the meditative data using SVM and KNN.
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