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» Clustering for music search results
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SIGIR
2009
ACM
16 years 18 days ago
Personalized music emotion recognition
In recent years, there has been a dramatic proliferation of research on information retrieval based on highly subjective concepts such as emotion, preference and aesthetic. Such r...
Yi-Hsuan Yang, Yu-Ching Lin, Homer H. Chen
JSAC
2007
124views more  JSAC 2007»
15 years 6 months ago
Optimal search performance in unstructured peer-to-peer networks with clustered demands
—This paper derives the optimal search time and the optimal search cost that can be achieved in unstructured peer-topeer networks when the demand pattern exhibits clustering (i.e...
Saurabh Tewari, Leonard Kleinrock
PAKDD
2007
ACM
158views Data Mining» more  PAKDD 2007»
16 years 6 days ago
Density-Sensitive Evolutionary Clustering
In this study, we propose a novel evolutionary algorithm-based clustering method, named density-sensitive evolutionary clustering (DSEC). In DSEC, each individual is a sequence of ...
Maoguo Gong, Licheng Jiao, Ling Wang, Liefeng Bo
LKR
2008
15 years 7 months ago
Identification of MCMC Samples for Clustering
Abstract. For clustering problems, many studies use just MAP assignments to show clustering results instead of using whole samples from a MCMC sampler. This is because it is not st...
Kenichi Kurihara, Tsuyoshi Murata, Taisuke Sato
ICDM
2002
IEEE
191views Data Mining» more  ICDM 2002»
15 years 11 months ago
Iterative Clustering of High Dimensional Text Data Augmented by Local Search
The k-means algorithm with cosine similarity, also known as the spherical k-means algorithm, is a popular method for clustering document collections. However, spherical k-means ca...
Inderjit S. Dhillon, Yuqiang Guan, J. Kogan