Clustering method and system of parallelized self-organizing mapping neural network based on graphic processing unit
A graphics processing unit and self-organizing mapping technology, applied in the field of parallelized self-organizing mapping neural network clustering, can solve the problems of large amount of data and slow calculation speed, and achieve the effect of fast clustering
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[0042] The technical solutions of the present invention will be further described below in conjunction with specific embodiments.
[0043] Such as figure 1 As shown, the specific embodiment of the present invention is: provide a kind of parallel self-organizing map neural network clustering method based on graphics processing unit, comprise the steps:
[0044] Step 1: Parallel keyword frequency statistics, namely: segment the text content into words and obtain a collection of keywords; for large-scale text data, the large-scale computing unit of the graphics processing device can provide each text document with a thread parallel statistical document The frequency of keywords is obtained as a word frequency matrix.
[0045] The specific implementation process is as follows: Computers do not have human intelligence. After reading an article, people can have a vague understanding of the content of the article according to their own understanding ability, but computers cannot eas...
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