基于多重解码器的自编码器模型的生物序列聚类方法

Biological Sequence Clustering Method Based on Multi-decoder Autoencoder Model

提出一种基于多重解码器的自编码器模型,用于学习生物序列数据的表示,并使用k-means算法对序列的表示进行聚类.试验结果验证了提出的方法在DNA序列数据集上具有良好的性能.

In this paper, an autoencoder model based on multi-decoder is proposed to learn the representation of biological sequence data, and thenk-means is used to cluster the representation of sequences.Experimental results show that the proposed method has good performance on DNA sequence data sets.