Algorithms for clustering data
Algorithms for clustering data
Self-organization and associative memory: 3rd edition
Self-organization and associative memory: 3rd edition
Competitive learning algorithms for vector quantization
Neural Networks
Introduction to statistical pattern recognition (2nd ed.)
Introduction to statistical pattern recognition (2nd ed.)
Vector quantization and signal compression
Vector quantization and signal compression
Color Image Segmentation using Competitive Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence
Effects of varying parameters on properties of self-organizing feature maps
Neural Processing Letters
Clustering Algorithms
Color image quantization for frame buffer display
SIGGRAPH '82 Proceedings of the 9th annual conference on Computer graphics and interactive techniques
A self-organizing network for hyperellipsoidal clustering (HEC)
IEEE Transactions on Neural Networks
A supervised training algorithm for self-organizing maps for structures
Pattern Recognition Letters - Special issue: Artificial neural networks in pattern recognition
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In this paper we study the sensitivityof the Self Organizing Map to several parameters inthe context of the one-pass adaptive computation ofcluster representatives over non-stationary data. Theparadigm of Non-stationary Clustering is representedby the problem of Color Quantization of imagesequences.