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Automated classification of music signal is an active area of research. It can act as the fundamental step for various applications like archival, indexing and retrieval of music data. In this work, a simple methodology is presented to categorize the music signals based on their genre. In order to capture the characteristics of the music signal of different genres, signal is first decomposed to extract...
Feature selection is an essential technique used in high dimensional data. Basically, feature selection is focused on removing irrelevant features. But, removing redundant features is also equally important. We propose a novel feature subset selection algorithm based on the idea of consensus clustering. Our algorithm constructs a complete graph on feature space and partitions the graph using various...
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