Fast and Provably Good Seedings for k-means

时间 2020-12-26

标签 k-means mcmc算法繁體版

原文原文链接

本文主要介绍关于k-means++改进相关的两篇文章： 1. Fast and Provably Good Seedings for k-means 2. Approximate K-menas++ in Sublinear Time k-means++ 相对于 k-menas的算法改进主要在于聚类中心的初始化阶段。如图所示，左边是原始k-means 算法的初始化阶段，原始算随机选择 k 个点作

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1. Fast and Provably Good Seedings for k-means
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1. Fast and Provably Good Seedings for k-means
2. Fast and Provably Good Seedings for k-Means阅读笔记
3. Semantic Flow for Fast and Accurate Scene Parsing
4. Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution
5. PEPSI++: Fast and Lightweight Network for Image Inpainting | 简记
6. Why Good Programmers Are Lazy and Dumb
7. Games201_lecture5_PossionsEquation and Fast Method
8. Reinforcement Learning, Fast and Slow
9. What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation?
10. How to Design a Good API and Why it Matters

>>更多相关文章<<