Aisha Gemala Jondya, Bambang Heru Iswanto
Cluster analysis has been used widely in some applications. In this research, 101 songs from 18 provinces in Indonesia clustered by some set of features extracted directly from the audio data. Before the clustering process, feature selection process with PCA method performed using 60 audio segments from 4 songs to find the optimal set of features which will be used in clustering process. In clustering process, the selected features are extracted from audio signal and clustered by x-Means algorithm to find the proper number of cluster. Clustering with this method resulted 4 clusters. The result of this process shows the characteristic of each cluster and some distributions of cultures between areas and provinces. An Agglomerative Hierarchical Clustering method also conducted to compare the result. © 2017 The Authors. Published by Elsevier B.V.
Computer Science Department, School of Computer Science, Bina Nusantara University, Jalan Kebon Jeruk Raya No.27, Jakarta, 11530, Indonesia; Universitas Negeri Jakarta, Jalan Rawamangun Muka, Jakarta, 13220, Indonesia
Research at a Glance
Register to unlock
Topics & SDG Alignment
Register to unlock
Collaboration
Register to unlock
Author Profile (Selected)
Register to unlock
References Overview
Register to unlock
Journal & Source
Register to unlock
Metadata & Integrity
Register to unlock