Dictionary training for sparse representation as generalization of K-means clustering
Recent dictionary training algorithms for sparse representation like K-SVD, MOD, and their variation are reminiscent of K-means clustering, and this letter investigates such algorithms from that viewpoint. It shows: though K-SVD is sequential like K-means, it fails to simplify to K-means by destroyi...
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Main Authors: | , |
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Other Authors: | |
Format: | Article |
Language: | English |
Published: |
2013
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/96655 http://hdl.handle.net/10220/9970 |
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Institution: | Nanyang Technological University |
Language: | English |
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