Acknowledging that due to geographical constraints, the city is not close enough to any large music cluster to tap into the knowledge there, it has turned what could have been a hindrance into a major positive.
In a music clustering system, the distance formula usually determines the performance.
This function forms the basis for music clustering in the next step.
Section 4 describes the design of the music clustering method and the user interface.
The results of music clustering are often affected by the distances between them.
The distance function is then used to quantify the music similarity and is needed for the music clustering process.
The client side provides the interface to select the music cluster, handles the data transmission, and plays the music.
A new method for music clustering is proposed, and a user interface is designed for such a system, which reduces the interaction needed, while still providing the required music output.
In the future, we plan to increase the number of experimental subjects to establish whether information of the distance function obtained from certain users can be used for the music clustering of other users.
