
Formed in 2009, the Archive Team (not to be confused with the archive.org Archive-It Team) is a rogue archivist collective dedicated to saving copies of rapidly dying or deleted websites for the sake of history and digital heritage. The group is 100% composed of volunteers and interested parties, and has expanded into a large amount of related projects for saving online and digital history.
History is littered with hundreds of conflicts over the future of a community, group, location or business that were "resolved" when one of the parties stepped ahead and destroyed what was there. With the original point of contention destroyed, the debates would fall to the wayside. Archive Team believes that by duplicated condemned data, the conversation and debate can continue, as well as the richness and insight gained by keeping the materials. Our projects have ranged in size from a single volunteer downloading the data to a small-but-critical site, to over 100 volunteers stepping forward to acquire terabytes of user-created data to save for future generations.
The main site for Archive Team is at archiveteam.org and contains up to the date information on various projects, manifestos, plans and walkthroughs.
This collection contains the output of many Archive Team projects, both ongoing and completed. Thanks to the generous providing of disk space by the Internet Archive, multi-terabyte datasets can be made available, as well as in use by the Wayback Machine, providing a path back to lost websites and work.
Our collection has grown to the point of having sub-collections for the type of data we acquire. If you are seeking to browse the contents of these collections, the Wayback Machine is the best first stop. Otherwise, you are free to dig into the stacks to see what you may find.
The Archive Team Panic Downloads are full pulldowns of currently extant websites, meant to serve as emergency backups for needed sites that are in danger of closing, or which will be missed dearly if suddenly lost due to hard drive crashes or server failures.
We have a list of
points
on the plane. Find theK
closest points to the origin(0, 0)
.(Here, the distance between two points on a plane is the Euclidean distance.)
You may return the answer in any order. The answer is guaranteed to be unique (except for the order that it is in.)
Example 1:
Example 2:
Note:
1 <= K <= points.length <= 10000
-10000 < points[i][0] < 10000
-10000 < points[i][1] < 10000
这道题给了平面上的一系列的点,让求最接近原点的K个点。基本上没有什么难度,无非就是要知道点与点之间的距离该如何求。一种比较直接的方法就是给这个二维数组排序,自定义排序方法,按照离原点的距离从小到大排序,注意这里我们并不需要求出具体的距离值,只要知道互相的大小关系即可,所以并不需要开方。排好序之后,返回前k个点即可,参见代码如下:
解法一:
下面这种解法是使用最大堆 Max Heap 来做的,在 C++ 中就是用优先队列来做,这里维护一个大小为k的最大堆,里面放一个 pair 对儿,由距离原点的距离,和该点在原数组中的下标组成,这样优先队列就可以按照到原点的距离排队了,距离大的就在队首。这样每当个数超过k个了之后,就将队首的元素移除即可,最后把剩下的k个点存入结果 res 中即可,参见代码如下:
解法二:
Github 同步地址:
#973
类似题目:
Kth Largest Element in an Array
Top K Frequent Elements
Top K Frequent Words
参考资料:
https://leetcode.com/problems/k-closest-points-to-origin/
https://leetcode.com/problems/k-closest-points-to-origin/discuss/217999/JavaC%2B%2BPython-O(N)
https://leetcode.com/problems/k-closest-points-to-origin/discuss/221532/C%2B%2B-STL-quickselect-priority_queue-and-multiset
https://leetcode.com/problems/k-closest-points-to-origin/discuss/220235/Java-Three-solutions-to-this-classical-K-th-problem.
LeetCode All in One 题目讲解汇总(持续更新中...)
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