data analysis; data visualisation; self-organising feature maps; stochastic processes; vector quantisation; Connives; NG based visualization; NG visualization; SOM; T-SNE projection; data space similarity; data visualization; dimensionality reduction; high-dimensional data space; high-dimensional large dataset; interactive analysis; low-dimensional projection space; neural gas; neural network; projection technique; quantization error; real dataset; rigid grid structure; self-organizing map; similarity visualization; stochastic neighbor embedding; student t-distribution; synthetic dataset; t-SNE; topology-based visualization; vector quantization; visualization tool; Data visualization; Manifolds; Prototypes; Quantization (signal); Three-dimensional displays; Topology; Visualization; connectivity; data visualization; dimensionality reduction; neural gas; similarity visualization; t-SNE;
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机译:通过拉普拉斯特征图可视化神经动力学的有效降维
机译:通过拉普拉斯特征形状可视化神经动力学的有效维度减少
机译:使用维度减少和基于相似性的表示的交互式数据可视化
机译:基于降维的人脸识别系统的神经分类器和统计分类器的比较分析。
机译:Neuralee:GPU加速的弹性嵌入维度减少方法用于可视化大规模SCRNA-SEQ数据
机译:Neuralee:GPU加速的弹性嵌入维度减少方法,用于可视化大规模SCRNA-SEQ数据