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KDD
2002
ACM
122views Data Mining» more  KDD 2002»
14 years 10 months ago
Hierarchical model-based clustering of large datasets through fractionation and refractionation
The goal of clustering is to identify distinct groups in a dataset. Compared to non-parametric clustering methods like complete linkage, hierarchical model-based clustering has th...
Jeremy Tantrum, Alejandro Murua, Werner Stuetzle
ICPR
2008
IEEE
14 years 11 months ago
K-means clustering of proportional data using L1 distance
We present a new L1-distance-based k-means clustering algorithm to address the challenge of clustering high-dimensional proportional vectors. The new algorithm explicitly incorpor...
Bonnie K. Ray, Hisashi Kashima, Jianying Hu, Monin...
ISMIR
2004
Springer
130views Music» more  ISMIR 2004»
14 years 3 months ago
Towards Automatic Identification Of Singing Language In Popular Music Recordings
The automatic analysis of singing from music is an important and challenging issue within the research target of content-based retrieval of music information. As part of this rese...
Wei-Ho Tsai, Hsin-Min Wang
NAACL
2007
13 years 11 months ago
Clustered Sub-Matrix Singular Value Decomposition
This paper presents an alternative algorithm based on the singular value decomposition (SVD) that creates vector representation for linguistic units with reduced dimensionality. T...
Fang Huang, Yorick Wilks
CLUSTER
2007
IEEE
14 years 4 months ago
The design of MPI based distributed shared memory systems to support OpenMP on clusters
— OpenMP can be supported in cluster environments by using distributed shared memory (DSM) systems. A portable approach for building DSM systems is to layer it on MPI. With these...
H'sien J. Wong, Alistair P. Rendell