Modified Vector Quantization using Cluster Validity Measure
Publish Year: 1384
Type: Conference paper
Language: English
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Document National Code:
ICIKT02_042
Index date: 2 January 2008
Modified Vector Quantization using Cluster Validity Measure abstract
Clustering is an important approach in engineering and other scientific disciplines. One clustering approaches is known as Vector Quantization (VQ). The main disadvantage of vector quantization algorithm is that the number of codevectors must be supplied as a parameter. In this paper we propose a Modified Vector Quantization (MVQ) algorithm which it uses Davies-Bouldin validity measure. This measure allows the number of codevectors to be determined automatically. We applied the MVQ technique for image segmentation and results are satisfactory.
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Modified Vector Quantization using Cluster Validity Measure authors
Rahmati
Computer Vision Lab., Amirkabir University of Technology, Tehran, Iran.
Kheradmandian
Computer Vision Lab., Amirkabir University of Technology, Tehran, Iran.