Created
January 6, 2018 17:59
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| struct Delta { | |
| x: [i8; 4], | |
| y: [i8; 4], | |
| } | |
| fn geometric_center(points: &[[f64; 2]]) -> [f64; 2] { | |
| const DELTA: Delta = Delta { | |
| x: [-1, 0, 1, 0], // movement in `x` direction | |
| y: [0, 1, 0, -1], // movement in `y` direction | |
| }; | |
| const EPSILON: f64 = 0.001; // some acceptable margin | |
| let arr_length = points.len() as f64; | |
| let mut center = points.iter().fold([0., 0.], |avg, point| { | |
| let x = avg[0] + (point[0] / arr_length); | |
| let y = avg[1] + (point[1] / arr_length); | |
| [x, y] | |
| }); // starts off as the median | |
| let mut step = 10.; // search radius | |
| let mut score = cost(&points, ¢er); | |
| while step > EPSILON { | |
| let mut improved = false; | |
| for i in 0..DELTA.x.len() { | |
| let _center = [ | |
| center[0] + DELTA.x[i] as f64 * step, | |
| center[1] + DELTA.y[i] as f64 * step, | |
| ]; | |
| let _score = cost(&points, &_center); | |
| if _score < score { | |
| center = _center; | |
| score = _score; | |
| improved = !improved; | |
| break; | |
| } | |
| } | |
| if !improved { | |
| step /= 2.; | |
| } | |
| } | |
| center | |
| } |
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