Competitive learning algorithms for vector quantization

Stanley C. Ahalt; Ashok Krishnamurthy; Prakoon Chen; Douglas E. Melton

doi:10.1016/0893-6080(90)90071-r

ScienceGate Book Chapters

JOURNAL ARTICLE

Competitive learning algorithms for vector quantization

Stanley C. Ahalt Ashok Krishnamurthy Prakoon Chen Douglas E. Melton

Year: 1990 Journal: Neural Networks Vol: 3 (3)Pages: 277-290 Publisher: Elsevier BV

DOI: 10.1016/0893-6080(90)90071-r

Get Full-Text PDF Get Analytical Report

Keywords:

Learning vector quantization Linde–Buzo–Gray algorithm Competitive learning Vector quantization Computer science Artificial neural network Algorithm Quantization (signal processing) Artificial intelligence Deep learning Machine learning

Metrics

670

Cited By

26.11

FWCI (Field Weighted Citation Impact)

Refs

0.99

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Neural Networks and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Advanced Data Compression Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Blind Source Separation Techniques

Physical Sciences → Computer Science → Signal Processing

Competitive learning algorithms for vector quantization

Metrics

Citation History

Topics

Related Documents

Competitive learning algorithms for robust vector quantization

Average Competitive Learning Vector Quantization

Robust vector quantization by competitive learning

Derivation of learning vector quantization algorithms

Fuzzy algorithms for learning vector quantization