16 February 2026ShareSave
Available on all major devices and platforms
，更多细节参见爱思助手下载最新版本
我们这里生成了多张国内城市的窗外照片，天气、风景和你所在的地方是一样吗。
Like the N-convex algorithm, this algorithm attempts to find a set of candidates whose centroid is close to . The key difference is that instead of taking unique candidates, we allow candidates to populate the set multiple times. The result is that the weight of each candidate is simply given by its frequency in the list, which we can then index by random selection:
FirstFT: the day's biggest stories