somoclu: An Efficient Parallel Library for Self-Organizing Maps
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چکیده
منابع مشابه
Somoclu: An Efficient Parallel Library for Self-Organizing Maps
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. It is also able to boost training by using CUDA if graphics processing units are available. A sparse kernel is included, which is useful for high-dimensional but sparse data,...
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Self organizing maps (SOM) are a class of artificial neural network (ANN) models developed by Kohonen. There are a number of variants, where the self organizing feature map (SOFM) is one of the most used ANN models with unsupervised learning. Learning vector quantifiers (LVQ) is another group of SOM which can be used as very efficient classifiers. SOM have been used in a variety of fields, e.g....
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شبکه خود سازمانده پرکاربردترین شبکه عصبی برای انجام خوشه بندی و کوانتیزه نمودن برداری است. از زمان معرفی این شبکه تاکنون، از این روش در مسائل مختلف در حوزه های گوناگون استفاده و توسعه ها و بهبودهای متعددی برای آن ارائه شده است. شبکه خودسازمانده از تعدادی سلول برای تخمین تابع توزیع الگوهای ورودی در فضای چندبعدی استفاده می کند. احتمال وجود سلول مرده مشکلی اساسی در الگوریتم شبکه خودسازمانده به حسا...
An accelerator for Kohonen Self-Organizing Maps
In this work we are describing hardware implementation of Kohonen SelfOrganizing Map. We examined existing neurocomputers and decided to work out our own neurocomputer with a different, more suitable architecture. Our neurocomputer is being realized on FPGA (Field-Programmable Gate Array). In this article we are describing basic neurocomputer unit structure as well as linkage of these elements ...
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c © 2006 by John von Neumann Institute for Computing Permission to make digital or hard copies of portions of this work for personal or classroom use is granted provided that the copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. To copy otherwise requires prior specific permission by the publisher ment...
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ژورنال
عنوان ژورنال: Journal of Statistical Software
سال: 2017
ISSN: 1548-7660
DOI: 10.18637/jss.v078.i09