學(xué)習(xí)筆記，僅供參考

---

文章目錄

• • Clustering by Passing Messages Between Data Points

---

Clustering by Passing Messages Between Data Points

通過在數(shù)據(jù)點之間傳遞消息進(jìn)行聚類

Clustering data by identifying a subset of representative examples is important for processing sensory signals and detecting patterns in data. Such “exemplars” can be found by randomly choosing an initial subset of data points and then iteratively refining it, but this works well only if that initial choice is close to a good solution. We devised a method called “affinity propagation,” which takes as input measures of similarity between pairs of data points. Real-valued messages are exchanged between data points until a high-quality set of exemplars and correspondin

總結(jié)

以上是生活随笔為你收集整理的文献学习(part5)--Clustering by Passing Messages Between Data Points的全部內(nèi)容，希望文章能夠幫你解決所遇到的問題。

如果覺得生活随笔網(wǎng)站內(nèi)容還不錯，歡迎將生活随笔推薦給好友。