This article assumes you choose host001 as NN, host002 as JT, and host003 as SNN.
本文假设选择 host001 作为 NN,host002 作为 JT,host003 作为 SNN。
This paper presents a new method of text clustering by using the latent semantic index (LSI) and self-organizing neural network (SNN).
根据隐含语义索引(LSI)理论和动态自组织映射神经网络理论,提出了一种文本聚类的新方法。
The results demonstrate that SNN algorithm is not sensitive to distance metrics and performs better at the classification accuracy on large data sets.
最后, 总结得出SNN分类算法对距离度量不敏感, 且在大数据集上具有更好分类效果的结论。
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