SVM-KNN: a novel approach to classification based on SVM and KNN

Rithesh R N

Abstract:

Classification is one of the most predominant tasks for wide range of applications such as Sentiment
analysis in text, voice recognition, image recognition, genetic engineering, data classification etc. Though many
efficient classification algorithms have been introduced in the past few decades, due to the drastic increase in the
amount of data generated across industry and academia there is a demand for classification algorithms with very
high accuracy and robustness. This paper presents a new approach to enhance the accuracy of the classifier by
combining Support Vector Machine (Classification algorithm) with K-Means Clustering algorithm and, finally
using K Nearest Neighbours to make optimal choice on the classification problem .Experiments have shown that
this new methodology has increased the accuracy of the classification problem and thus serves the intended
purpose.