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E-raamat: Advances in Self-Organising Maps

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  • Formaat: PDF+DRM
  • Ilmumisaeg: 06-Dec-2012
  • Kirjastus: Springer London Ltd
  • Keel: eng
  • ISBN-13: 9781447107156
  • Formaat - PDF+DRM
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  • See e-raamat on mõeldud ainult isiklikuks kasutamiseks. E-raamatuid ei saa tagastada.
  • Formaat: PDF+DRM
  • Ilmumisaeg: 06-Dec-2012
  • Kirjastus: Springer London Ltd
  • Keel: eng
  • ISBN-13: 9781447107156

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This is the third Workshop on Self-Organising Maps (WSOM) and its related techniques. The previous two were held in Helsinki (1997 and 1999) and confIrmed the vitality of the SOM as one of the most popular and powerful concepts for unsupervised pattern recognition and data visualisation. These meetings not only acted as a showcase for the latest advances in SOM theory and for illustrating its vast range of applicability, but also as venues where much informal and fruitful interaction could take place. It is interesting to observe the development of the original SOM, and this remarkable progress confrrms the originality and insight of Teuvo Kohonen's pioneering work. With the range and quality of the papers in this volume, the stage is set for another very successful meeting. This volume is a permanent record of all the contributions presented during WSOM'OI held at the University of Lincolnshire and Humberside, 13 - 15 June, 2001. The University is the newest of England's universities but it is situated in the heart of one of our oldest cities - founded by the Romans and overlooked by the towering mass of its medieval cathedral. Primarily Lincoln has always been a centre for the rich agricultural heartland of England; however, it was the birthplace, 186 years ago, of George Boole. So WSOM'OI is continuing Lincoln's long and honourable tradition of advancing scientific understanding.

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Springer Book Archives
Towards an information-theoretic approach to kernel-based topographic map formation 1(6) M. M. Van Hulle A statistical tool to assess the reliability of self-organising maps 7(8) M. Cottrell E. De Bodt M. Verleysen A SOM association network 15(6) T. Yamakawa K. Horio R. Kubota A supervised self-organising map for structured data 21(8) M. Hagenbuchner A. C. Tsoi A. Sperduti Human gait analysis using SOM 29(10) H. M. Lakany Exploring financial crises data with self-organising maps (SOM) 39(8) I. Arciniegas B. Daniel M. J. Embrechts Analysing health inequalities using SOM 47(7) Z. R. Yang Integrating contextual information into text document clustering with self-organising maps 54(7) D. Pullwitt R. Der Self-organising Internet semantic network 61(6) S. Shumsky Recursive learning rules for SOMs 67(6) J. A. Lee N. Donckers M. Verleysen Induced Voronoi kernel for principal manifolds approximation 73(8) M. Aupetit P. Couturier P. Massotte Visualisation induced SOM (ViSOM) 81(8) H. Yin An approach to automated interpretation of SOM 89(6) M. Siponen J. Vesanto O. Simula P. Vasara VQ-based clustering algorithm of piecewise-dependant-data 95(7) I. Lapidot H. Guterman Adaptive subspace encoders using stochastic vector quantisers 102(8) S. P. Luttrell Shapesom 110(8) P. N. Suganthan A new interpolation algorithm employing a self organising map 118(6) T. Yamakawa K. Horio Y. Oosako T. Miki SOM-based exploratory analysis of gene expression data 124(8) S. Kaski Exploring power transformer database using self-organising maps (SOM) and minimal spanning tree (MST) 132(8) K. Obu-Cann K. Fujimura H. Tokutaka M. Ohkita M. Inui S. Yamada Recent advances with the growing hierarchical self-organising Map 140(6) M. Dittenbach A. Rauber D. Merkl Self-organising maps of web link information 146(6) S. Laakso J. Laaksonen M. Koskela E. Oja A design method of DNA chips using self-organising maps 152(8) H. Douzono S. Hara Y. Noguchi Multi-dimensional self-organising maps on massively parallel hardware 160(7) U. Seiffert B. Michaelis A new method of Hough transform by using SOM with input vector transformation 167(6) T. Yamakawa K. Horio S. Izumi T. Miki Estimating relevant input dimensions for self-organising algorithms 173(8) B. Hammer T. Villmann An overview on unsupervised learning from data mining perspective 181(29) L. Xu Recursive self-organising maps 210(6) T. Voegtlin P. F. Dominey An investigation into catastrophic interference on a SOM network 216(8) A. Indrayanto N. M. Allinson A topography-preserving latent variable model with learning metrics 224(6) S. Kaski J. Sinkkonen Vector quantisation with γ-observable neighbors 230(8) M. Aupetit P. Couturier P. Massotte Dynamic vector quantisation of speech 238(8) S. Garani J. C. Principe Optimisation of electronic parts mounting machines using SOM-TSP method with 5 dimensional data 246(7) K. Fujimura S.-I. Fujiwaki O.-C. Kwaw H. Tokutaka Self-organising maps for condition assessment of paper insulated cables 253(6) J. M. Rodriguez Arroyo A. J. Beddoes N. M. Allinson An essay in classfying self-organising maps for temporal sequence processing 259(8) G. Guimaraes F. Moura-Pires Evaluating SOM-based models in text classification tasks for the Greek language 267(8) G. Tambouratzis N. Hairetakis S. Markantonatou G. Carayannis Nonlinear blind source separation using SOMs and applications to image denoising 275(8) M. Haritopoulos H. Yin N. M. Allinson Signal-based feature extraction and SOM based dimension reduction in a vibration monitoring microsystem 283(6) I. Jossa U. Marschner W.-J. Fischer Author index 289