Unsupervised Learning：Neighbor Embedding

时间 2021-01-02

标签 Machine Learning 繁體版

原文原文链接

Unsupervised Learning：Neighbor Embedding （非线性降维） Manifold Learning 将高维空间的 Manifold 映射到低维空间“摊平”，这样就可以计算他的直线距离，以便于聚类和监督学习 Locally Linear Embedding (LLE) 也就是说，我们先在高维空间中通过minimize 找到Xi和Xj的关系Wij，然后在低维空间中通过

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1. 课程笔记——Unsupervised Learning：Neighbor Embedding
2. Unsupervised Learning: Neighbor Embedding
3. Unsupervised Bilingual Word Embedding Agreement for Unsupervised Neural Machine Translation
4. Unsupervised Learning: Word Embedding(词嵌入)
5. Unsupervised Deep Embedding for Clustering Analysis(DEC)
6. Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering
7. 论文笔记：Unsupervised Deep Embedding for Clustering Analysis
8. 李宏毅ML lecture-15 unsupervised Learning Neighbor Embedding
9. Unsupervised Deep Embedding for Clustering Analysis论文介绍
10. 李宏毅-DeepLearning-2017-Unsupervised Learning:Neighbor Embedding

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