Self-Organizing Maps的意思|示意
自组织映射
Self-Organizing Maps的网络常见释义
自组织映射 ...Neural Networks-自组织映射和矩阵数据的聚类方法。神经网络-知来数据 key words: matrix data, Self-Organizing Maps, pairwise clustering, information bottleneck, deterministic annealing, growing [gap=431]关键词：矩阵数据，自组织映射，两...
自组织映射神经网络 ... networks），KNN算法（ k-nearest neighbors，机器学习里面比较简单的分类算法），自组织映射神经网络（self-organizing maps），实例推理，实例学习，隐马尔可夫模型以及“大量的回归技术，” Parker说。 4.
Self-Organizing Maps相关短语
1、 self organizing maps 包括自组织图 ; 自组织图 ; 图
2、 Visualization-induced self-organizing maps 可视化诱导自组织映射
3、 Grey Self-Organizing Maps 自组织特征映射
Self-Organizing Maps相关例句
It implements two original algorithms specifically designed for clustering short time series together with hierarchical clustering and self-organizing maps.
它实现了两个专为短的时间序列聚类与聚类和自组织映射的原始算法。
Introducing diffusing and growing self-organizing maps (DGSOM), we propose a new algorithm called self-organized LLE and give some theoretical analysis.
引入扩散生长型自组织神经网络模型（DGSOM）算法，在深入研究LLE的基础上提出了新的自组织LLE算法并给出理论分析。
Working with Self Organizing Maps - How do I interpret the results?
使用自组织映射——我如何解释这些结果？
An autonomous star pattern recognition method using the tri-star clustering function of SOFM (Self-Organizing Feature Maps) network is described.
介绍了一种利用SOFM(自组织特征映射)网络的聚类功能进行全天星图识别的算法。
To facilitate clustering analysis and visualization of data, the Emergent Self-Organizing Feature Maps (ESOM) and a boundless U-matrix are needed.
本文通过利用涌现自组织特征映射神经网络对数据进行聚类分析，并通过无边界u矩阵实现可视化功能。
Common approaches to unsupervised learning include k-Means, hierarchical clustering, and self-organizing maps.
无监管学习的常见方法包括k - Means、分层集群和自组织地图。