n维空间最近m点的问题,应该算是经典模型了。
n维:
采用KD树解决,轮流沿着各个维度把点分成两部分(还有一种思路是把跨度最大的那一维度分成两部分,这一种方法是更优的,但是实现起来稍微复杂一点点。而均摊下来两种方法的复杂度相同,所以这里只采用了轮流的建树法),建树即可。
m点:
最近点和最近m点的问题是一样的。
#include <cstdio> #include <cstring> #include <cmath> #include <iostream> #include <vector> #include <queue> #include <stack> #include <algorithm> using namespace std; typedef long long ll; const int maxn = 50010; int n, k, idx, q, m; struct Point { int x[5]; bool operator < (const Point &o) const {return x[idx] < o.x[idx];} }p[maxn], a, ans[15]; typedef pair<double, Point> tp; priority_queue<tp> nq; Point pt[maxn << 2]; int son[maxn << 2]; void buildKD(int l, int r, int rt = 1, int dep = 0) { if (l > r) return; son[rt] = r - 1; son[rt<<1] = son[rt<<1|1] = -1; idx = dep % k; int mid = (l + r) >> 1; nth_element(p+l, p+mid, p+r+1); pt[rt] = p[mid]; buildKD(l, mid-1, rt<<1, dep+1); buildKD(mid+1, r, rt<<1|1, dep+1); } void find(Point a, int m, int rt = 1, int dep = 0) { if (son[rt] == -1) return; tp node(0, pt[rt]); for (int i = 0; i < k; i++) node.first += ((double)a.x[i]-pt[rt].x[i]) * ((double)a.x[i]-pt[rt].x[i]); int dim = dep % k, lhs = rt << 1, rhs = rt << 1 | 1, flag = 0; if (a.x[dim] >= pt[rt].x[dim]) swap(lhs, rhs); if (son[lhs] != -1) find(a, m, lhs, dep+1); if (nq.size() < m) nq.push(node), flag = 1; else { if (node.first < nq.top().first) nq.pop(), nq.push(node); if ((a.x[dim]-pt[rt].x[dim])*(a.x[dim]-pt[rt].x[dim]) < nq.top().first) flag = 1; } if (son[rhs] != -1 && flag) find(a, m, rhs, dep+1); } int main() { while (scanf("%d%d", &n, &k) == 2) { for (int i=1;i<=n;i++) for (int j=0;j<k;j++) scanf("%d", &p[i].x[j]); buildKD(1, n); scanf("%d", &q); while (q--) { for (int i=0;i<k;i++) scanf("%d", &a.x[i]); scanf("%d", &m); while (!nq.empty()) nq.pop(); find(a, m); for (int i=0;i<m;i++) ans[i] = nq.top().second, nq.pop(); printf("the closest %d points are:\n", m); for (int i=m-1;i>=0;i--) { for (int j=0;j<k-1;j++) printf("%d ", ans[i].x[j]); printf("%d\n", ans[i].x[k-1]); } } } return 0; }