On the initialisation of Sammon's nonlinear mapping

Pattern Analysis and Applications

Volumn 3, Issue 1, 2000, Pages 61-68

  Lerner, B ^a   Guterman, H ^b   Aladjem, M ^b   Dinstein, I ^b  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^b BEN GURION UNIVERSITY OF THE NEGEV   (Israel)

Author keywords

Classification; Data projection; Initialisation; Neural networks; Principal component analysis (PCA); Sammon's mapping

Indexed keywords

EID: 0034395381     PISSN: 14337541     EISSN: None     Source Type: Journal    
DOI: 10.1007/s100440050006     Document Type: Article

References (10)

1. Sammon JW Jr. A nonlinear mapping for data structure analysis. IEEE Transactions on Computers 1969; 18:401-409
2. Chien Y. Interactive pattern recognition. Marcel Dekker, New York, 1978
3. Mao J, Jain AK. Artificial neural networks for feature extraction and multivariate data projection. IEEE Transactioms on Neural Networks 1995; 6:296-317
4. De Ridder D, Duin RPW. Sammon's mapping using neural networks : A comparison. Pattern Recognition Letters 1997; 18: 1307-1316
5. Lerner B, Guterman H, Aladjem M, Dinstein I, Romem Y. On pattern classification with Sammon's nonlinear mapping - an experimental study. Pattern Recognition 1998; 31:371-381
6. De Backer S, Naud A, Scheunders P. Non-linear dimensionality reduction techniques for unsupervised feature extraction. Pattern Recognition Letters 1998; 19:711-720
7. Lerner B, Guterman H, Aladjem M, Dinstein I. A comparative study or neural network based feature extraction paradigms. Partern Recognition Letters 1999; 20:7-14
8. Michie D, Spiegelhalter DJ, Taylor CC. Machine Learning, Neural and Statistical Classification. Ellis Horwood, New York, 1994
9. Lowe D, Tipping ME. Feed-forward neural networks and topographic mappings for exploratory data analysis. Neural Computing and Applications 1996; 4:83-95
10. Merz CJ, Murphy PM. UCI repository of machine learning databases. Irvine, CA: University of California, Department of Information and Computer Science, 1998