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https://www.academia.edu/14407314/Hierarchical_co_clustering_of_music_artists_and_tags
Specifically, at the best layer of the den- in each round one artist is moved from the current cluster drogram generated by HCC, if some artist (or tag) data to another if that move decreases the value of Z. Transfer- points of certain node are being re-assigned to another ring constraints backward (i.e., from artists to tags) could node at the same layer after using the instance-level con- be done by simplying switch the role of tags …
https://www.academia.edu/2875205/Hierarchical_co_clustering_of_music_artists_and_tags
In the dendrogram, each leaf represents one artist or one tag, each internal node contains subsets of artists and tags, and the top layer is the cluster contains all artists and tags. Because many people assign a tag "Industrial" to artist Nine Inch Nails, "Industrial" and Nine Inch Nails are clustered together.
https://www.researchgate.net/publication/220722928_Hierarchical_Co-Clustering_of_Artists_and_Tags
Rectangles represent artists and ellipses represent tags assigned to these artists. The nodes containing both rectangles and ellipses are clusters containing both an artist and a tag. NMI on HCC ...
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.231.6224
HCC may lead to better and deeper understandings of relationship between artists and tags assigned to them. An experiment finds that by trying to hierarchically cluster the two types of data better clusters are obtained for both.
http://ismir2010.ismir.net/proceedings/ismir2010-44.pdf
nizing tags into a hierarchical structure by taking into ac-count the fact that the corresponding artists are organized into a hierarchy based on genre and style. A novel clus-tering algorithm, Hierarchical Co-clustering Algorithm (HCC), is proposed as a solution. Unlike traditional hi-erarchical clustering algorithms that deal with homoge-Cited by: 1
https://miami.pure.elsevier.com/en/publications/hierarchical-co-clustering-of-music-artists-and-tags
title = "Hierarchical co-clustering of music artists and tags", abstract = "The user-assigned tag is a growingly important research topic in MIR. Noticing that some tags are more specific versions of others, this paper studies the problem of organizing tags into a hierarchical structure by taking into ac- count the fact that the corresponding artists are organized into a hierarchy based on genre and style.Cited by: 1
https://ieeexplore.ieee.org/document/6111486/
Dec 22, 2011 · Hierarchical Co-Clustering: A New Way to Organize the Music Data 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/).
https://www.researchgate.net/publication/254057342_Hierarchical_Co-Clustering_A_New_Way_to_Organize_the_Music_Data
Co-clustering is applied on artists and tags together, artists and styles together or artists and moods labels together by implementing agglomerative and divisive strategy of hierarchical co ...
https://users.cs.fiu.edu/archive/taoli/pub/TMM-2012-Hierarchical-co-clustering.pdf
Hierarchical Co-Clustering: A New Way to Organize the Music Data Jingxuan Li, Bo Shao, Tao Li, and Mitsunori Ogihara, Member, IEEE 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 la-
https://www.infona.pl/resource/bwmeta1.element.ieee-art-000006111486
Mood Organizing Clustering algorithms Organizations Multiple signal classification Standards organizations Music information retrieval user tags Co-clustering hierarchical …
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