*Lakany, H.M.*,
*Schukat-Talamazzini, E.G.*,
*Niemann, H.*, and
*Ghonaimy, M.A.R.*,

**Object recognition from 2D images using Kohonen
self-organized feature maps**,

*PRIA(7)*, 1997, pp. 301-308.
BibRef
**9700**

*Hogg, T.[Trevor]*,
*Talhami, H.[Habib]*,
*Rees, D.[David]*,

**Learning in a self-organising pattern formation system**,

*PRL(20)*, No. 1, January 1999, pp. 1-5.
BibRef
**9901**

*Suganthan, P.N.*,

**Pattern classification using multiple hierarchical overlapped
self-organising maps**,

*PR(34)*, No. 11, November 2001, pp. 2173-2179.

Elsevier DOI
**0108**

BibRef

*Laha, A.*,
*Pal, N.R.*,

**Some novel classifiers designed using prototypes extracted by a new
scheme based on self-organizing feature map**,

*SMC-B(31)*, No. 6, December 2001, pp. 881-890.

IEEE Top Reference.
**0201**

See also Design of Vector Quantizer for Image Compression Using Self-Organizing Feature Map and Surface Fitting.
BibRef

*Wu, S.[Sitao]*,
*Chow, T.W.S.[Tommy W. S.]*,

**Clustering of the self-organizing map using a clustering validity index
based on inter-cluster and intra-cluster density**,

*PR(37)*, No. 2, February 2004, pp. 175-188.

Elsevier DOI
**0311**

Self organizing map.
BibRef

*Simon, G.*,
*Lendasse, A.*,
*Cottrell, M.*,
*Fort, J.C.*,
*Verleysen, M.*,

**Time series forecasting:
Obtaining long term trends with self-organizing maps**,

*PRL(26)*, No. 12, September 2005, pp. 1795-1808.

Elsevier DOI
**0508**

BibRef

*Hagenbuchner, M.[Markus]*,
*Tsoi, A.C.[Ah Chung]*,

**A supervised training algorithm for self-organizing maps for structures**,

*PRL(26)*, No. 12, September 2005, pp. 1874-1884.

Elsevier DOI
**0508**

BibRef

*Lee, S.*,
*Lathrop, R.G.*,

**Subpixel Analysis of Landsat (rm ETM) Using Self-Organizing Map (SOM)
Neural Networks for Urban Land Cover Characterization**,

*GeoRS(44)*, No. 6, June 2006, pp. 1642-1654.

IEEE DOI
**0606**

BibRef

*Liu, L.F.[Li-Fan]*,
*Wang, B.[Bin]*,
*Zhang, L.M.[Li-Ming]*,

**Decomposition of Mixed Pixels Based on Bayesian Self-Organizing Map and
Gaussian Mixture Model**,

*PRL(30)*, No. 9, 1 July 2009, pp. 820-826.

Elsevier DOI
**0905**

Decomposition of mixed pixels; Bayesian self-organization map (BSOM);
Gaussian mixture model (GMM); Multispectral/hyperspectral data
BibRef

*Liu, L.[Lifan]*,
*Wang, B.[Bin]*,
*Zhang, L.M.[Li-Ming]*,

**An approach based on self-organizing map and fuzzy membership for
decomposition of mixed pixels in hyperspectral imagery**,

*PRL(31)*, No. 11, 1 August 2010, pp. 1388-1395.

Elsevier DOI
**1008**

Mixed pixel; Spectral unmixing; Endmember; Abundance; Self-organizing
map neural network; Fuzzy membership
BibRef

*Su, M.C.[Mu-Chun]*,
*Su, S.Y.[Shi-Yong]*,
*Zhao, Y.X.[Yu-Xiang]*,

**A swarm-inspired projection algorithm**,

*PR(42)*, No. 11, November 2009, pp. 2764-2786.

Elsevier DOI
**0907**

Cluster analysis; Projection; Neural networks; Self-organizing feature
map; Swarm intelligence
BibRef

*Sarlin, P.[Peter]*,

**Decomposing the global financial crisis: A Self-Organizing Time Map**,

*PRL(34)*, No. 14, 2013, pp. 1701-1709.

Elsevier DOI
**1308**

Self-Organizing Time Map
BibRef

*Astudillo, C.A.[César A.]*,
*Oommen, B.J.[B. John]*,

**Self-organizing maps whose topologies can be learned with adaptive
binary search trees using conditional rotations**,

*PR(47)*, No. 1, 2014, pp. 96-113.

Elsevier DOI
**1310**

Adaptive data structures
BibRef

*Cabanes, G.[Guénaël]*,
*Bennani, Y.[Younès]*,
*Destenay, R.[Renaud]*,
*Hardy, A.[André]*,

**A new topological clustering algorithm for interval data**,

*PR(46)*, No. 11, November 2013, pp. 3030-3039.

Elsevier DOI
**1306**

Interval data; Clustering; Self-organizing map
BibRef

*Clark, S.[Stephanie]*,
*Sisson, S.A.[Scott. A.]*,
*Sharma, A.[Ashish]*,

**A dimension range representation (DRR) measure for self-organizing
maps**,

*PR(53)*, No. 1, 2016, pp. 276-286.

Elsevier DOI
**1602**

Self-organizing maps
BibRef

Springer DOI

BibRef

*Zheng, H.C.[Hui-Cheng]*,

**Invariant Feature Set Generation with the Linear Manifold
Self-organizing Map**,

*ACCV10*(IV: 677-689).

Springer DOI
**1011**

manifold representation using neural networks to model human brain.
BibRef

*Yu, D.J.[Dong-Jun]*,
*Hancock, E.R.[Edwin R.]*,
*Smith, W.A.P.[William A. P.]*,

**A Riemannian Self-Organizing Map**,

*CIAP09*(229-238).

Springer DOI
**0909**

Generalize SOM to Riemannian space.
BibRef

*Fornells, A.*,
*Golobardes, E.*,
*Martorell, J.M.*,
*Garrell, J.M.*,
*Bernadó, E.*,
*Maciá, N.*,

**Measuring the Applicability of Self-organization Maps in a Case-Based
Reasoning System**,

*IbPRIA07*(II: 532-539).

Springer DOI
**0706**

BibRef

*Guan, L.[Ling]*,

**Self-Organizing Trees and Forests:
A Powerful Tool in Pattern Clustering and Recognition**,

*ICIAR06*(I: 1-14).

Springer DOI
**0610**

BibRef

*Kyan, M.[Matthew]*,
*Guan, L.[Ling]*,

**Local Variance Driven Self-Organization for Unsupervised Clustering**,

*ICPR06*(III: 421-424).

IEEE DOI
**0609**

BibRef

*Smolander, S.[Seppo]*, and
*Lampinen, J.[Jouko]*,

**Determining the Optimal Structure for Multilayer Self-Organizing Map
with Genetic Algorithm**,

*SCIA97*(xx-yy)

HTML Version.
**9705**

BibRef

*Mulier, F.*,
*Cherkassky, V.S.[Vladimir S.]*,

**Learning rate schedules for self-organizing maps**,

*ICPR94*(B:224-228).

IEEE DOI
**9410**

BibRef

Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in

Context and Structure for Classification .

Last update:Nov 30, 2021 at 22:19:38