Farthest Insertion源码
时间: 2024-04-30 15:20:49 浏览: 282
farthest point sampling
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以下是Python实现Farthest Insertion算法的代码:
```python
import math
# 计算两点之间的欧几里得距离
def euclidean_distance(point1, point2):
x1, y1 = point1
x2, y2 = point2
return math.sqrt((x1 - x2) ** 2 + (y1 - y2) ** 2)
# 找到距离所有已选择点最远的点
def farthest_point(points, selected_points):
max_distance = 0
farthest_point = None
for point in points:
if point in selected_points:
continue
distance = min([euclidean_distance(point, selected) for selected in selected_points])
if distance > max_distance:
max_distance = distance
farthest_point = point
return farthest_point
# Farthest Insertion算法实现
def farthest_insertion(points):
# 选择最远的两个点作为初始路径
start = points[0]
end = farthest_point(points, [start])
path = [start, end]
# 选择剩余的点,直到所有点都被添加到路径中
while len(path) < len(points):
# 找到距离已选择点最远的点
farthest = farthest_point(points, path)
# 找到距离已选择点最近的点
min_distance = math.inf
for i in range(len(path)):
for j in range(i + 1, len(path)):
distance = euclidean_distance(farthest, path[i]) + euclidean_distance(farthest, path[j]) - euclidean_distance(path[i], path[j])
if distance < min_distance:
min_distance = distance
insert_index = j
insert_point = farthest
# 将新点插入到路径中
path.insert(insert_index, insert_point)
return path
```
其中,`points`为输入的点集,每个点表示为二元组`(x, y)`;`farthest_insertion`函数返回最终的路径,以列表形式存储每个点的坐标。
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