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Locality preserving speaker clustering
Stephen M. Chu
, Hao Tang
, Thomas S. Huang
Research output
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Chapter in Book/Report/Conference proceeding
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Conference contribution
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Dive into the research topics of 'Locality preserving speaker clustering'. Together they form a unique fingerprint.
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Keyphrases
Clustering Approach
25%
Clustering Methods
25%
Effective Representation
25%
Gaussian Mixture Model
100%
Hierarchical Clustering
25%
K-means
25%
Local Neighborhood Structure
25%
Locality Preserving
100%
Locality Preserving Projection
50%
Low-dimensional Subspace
25%
Principal Subspace
25%
Projection Map
25%
Projection Subspace
25%
Projective Mapping
25%
Reduced-dimensional
25%
Speaker Clustering
100%
Supervector
100%
Computer Science
clustering approach
25%
Clustering Technique
25%
Dimensional Subspace
25%
Gaussian Mixture Model
100%
Hierarchical Clustering
25%
k-means Clustering
25%
Local Neighborhood
25%
locality preserving projection
50%
Neighborhood Structure
25%
Principal Components
25%
Mathematics
Clustering
100%
Data Point
25%
Dimensional Subspace
25%
Gaussian Mixture Model
100%
Hierarchical Clustering
25%
Principal Components
25%
Projective
25%