Hierarchical co-clustering: A new way to organize the music data

Jingxuan Li; Bo Shao; Tao Li; Mitsunori Ogihara

doi:10.1109/TMM.2011.2181151

Hierarchical co-clustering: A new way to organize the music data

Jingxuan Li, Bo Shao, Tao Li, Mitsunori Ogihara

Computer Science

Research output: Contribution to journal › Article › peer-review

11 Scopus citations

Abstract

In music information retrieval (MIR) an important research topic, which has attracted much attention recently, is the utilization of user-assigned tags, artist-related style, and mood labels, which can be extracted from music listening web sites, such as Last.fm (http://www.last.fm/) and All Music Guide (http://www.allmusic.com/). A fundamental research problem in the area is how to understand the relationships among artists/songs and these different pieces of information.

Original language	English (US)
Article number	6111486
Pages (from-to)	471-481
Number of pages	11
Journal	IEEE Transactions on Multimedia
Volume	14
Issue number	2
DOIs	https://doi.org/10.1109/TMM.2011.2181151
State	Published - Apr 1 2012

Keywords

Co-clustering
hierarchical clustering
user tags

ASJC Scopus subject areas

Signal Processing
Media Technology
Computer Science Applications
Electrical and Electronic Engineering

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