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» Clustering for music search results
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SIGIR
2009
ACM
15 years 6 months 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»
14 years 11 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»
15 years 6 months 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 1 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 4 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