Results 1 to 10 of about 261,223 (281)
Expression cartography of human tissues using self organizing maps [PDF]
BMC Bioinformatics, 2011 Background Parallel high-throughput microarray and sequencing experiments produce vast quantities of multidimensional data which must be arranged and analyzed in a concerted way. One approach to addressing this challenge is the machine learning technique
Löffler Markus +3 more
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Exploring Soil Pollution Patterns Using Self-Organizing Maps [PDF]
Toxics, 2022 The geochemical composition of bedrock is the key feature determining elemental concentrations in soil, followed by anthropogenic factors that have less impact. Concerning the latter, harmful effects on the trophic chain are increasingly affecting people
Ilaria Guagliardi +2 more
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AlignScape, displaying sequence similarity using self-organizing maps [PDF]
Frontiers in BioinformaticsThe current richness of sequence data needs efficient methodologies to display and analyze the complexity of the information in a compact and readable manner.
Isaac Filella-Merce +7 more
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somoclu: An Efficient Parallel Library for Self-Organizing Maps [PDF]
Journal of Statistical Software, 2017 somoclu is a massively parallel tool for training self-organizing maps on large data sets written in C++. It builds on OpenMP for multicore execution, and on MPI for distributing the workload across the nodes in a cluster.
Peter Wittek +3 more
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Implementing in-situ self-organizing maps with memristor crossbar arrays for data mining and optimization [PDF]
Nature Communications, 2022 Self-organizing maps are data mining tools for unsupervised learning algorithms dealing with big data problems. The authors experimentally demonstrate a memristor-based self-organizing map that is more efficient in computing speed and energy consumption ...
Rui Wang +8 more
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Self- and Super-organizing Maps in R: The kohonen Package [PDF]
Journal of Statistical Software, 2007 In this age of ever-increasing data set sizes, especially in the natural sciences, visualisation becomes more and more important. Self-organizing maps have many features that make them attractive in this respect: they do not rely on distributional ...
Ron Wehrens, Lutgarde M. C. Buydens
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Randomized Self-Organizing Map [PDF]
Neural Computation, 2021 We propose a variation of the self-organizing map algorithm by considering the random placement of neurons on a two-dimensional manifold, following a blue noise distribution from which various topologies can be derived. These topologies possess random (but controllable) discontinuities that allow for a more flexible self-organization, especially with ...
Rougier, Nicolas, Detorakis, Georgios
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Jurnal Teknologi Informasi dan Ilmu Komputer, 2023 Indeks Pembangunan Manusia (IPM) merupakan indikator untuk mengukur keberhasilan dalam membangun kualitas hidup manusia. Di tahun 2022, empat indikator IPM berubah menjadi Umur Harapan Hidup Saat Lahir (UHH), Harapan Lama Sekolah (HLS), Rata-rata Lama ...
Dwi Marisa Midyanti, Syamsul Bahri
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PENGELOMPOKAN DATA PMKS MENGGUNAKAN METODE SELF ORGANIZING MAPS
Sosiohumaniora: Jurnal Ilmiah Ilmu Sosial dan Humaniora, 2022 The purpose of this study is to group the area in Special Region of Yogyakarta (DIY) to find out the characteristics of Social Welfare Issues (PMKS) in DIY 2016 in the grouped area.
Eko Heru Firdauz, Edy Widodo
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Signal Self Organizing Map [PDF]
2007 International Joint Conference on Neural Networks, 2007 The self organizing map (SOM) has been applied to wide ranges of fields including computer vision and image processing. Despite of its simple training algorithm, the vectorial input pattern of SOMs induced a sequence of drawbacks which should not be overlooked.
Yuen, SY, Chow, CK
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