To evaluate the compactness of the resulting zones, we derive the average squared distance between two points uniformly distributed in each zone, as well as the average squared distance between two points uniformly distributed in two zones. The weighted sum of these measures is used as the ...
SKPoint.DistanceSquared(SKPoint, SKPoint) Method Reference Feedback Definition Namespace: SkiaSharp Assembly: SkiaSharp.dll Calculate the Euclidean distance squared between two points. C# 複製 public static float DistanceSquared (SkiaSharp.SKPoint point, SkiaSharp.SKPoint other); Parameters point ...
This approach is applicable in situations where detectors are expressed as vectors with real values and the calculation of the distance between two points is required. It is calculated using this formula: d(x,y)=∑i(xi−yi)2=‖x−y‖ Each component multiplies the distance when all ...
The Euclidean distance function measures the ‘as-the-crow-flies’ distance. The formula for this distance between a pointX(X1, X2,etc.) and a pointY(Y1, Y2,etc.) is: Deriving the Euclidean distance between two data points involves computing the square root of the sum of the sq...
To determine the distance between two data points xi and xj, we initialize the following two states [40]: (12.191)xj=∑i=1dxijei=[x1jx2j⋮xdj] To create the first state, we use QRAM, while for the second state, we create the state H|1〉|0〉 and let it evolve by applying the...
Returns the Euclidean distance squared between two specified points. C# Copiar public static float DistanceSquared (System.Numerics.Vector2 value1, System.Numerics.Vector2 value2); Parameters value1 Vector2 The first point. value2 Vector2 The second point. Returns Single The distance squared....
trigonometry (redirected fromSine squared) Thesaurus Encyclopedia trig·o·nom·e·try (trĭg′ə-nŏm′ĭ-trē) n. The branch of mathematics that deals with the relationships between the sides and the angles of triangles and the calculations based on them, particularly the trigonometric funct...
* @return the squared distance between the point described by this vector and the given destination point. When * comparing the relative distance between two points it is usually sufficient to compare the squared * distances, thus avoiding an expensive square root operation. ...
sqrt(distanceSquared(destination)); } 代码示例来源:origin: com.ardor3d/ardor3d-math /** * @param destination * @return the squared distance between the point described by this vector and the given destination point. When * comparing the relative distance between two points it is usually ...
If a distance equal to one standard deviation is measured off on the X axis on both sides of the arithmetic mean in a normal distribution, 68.26% of the values will be included within the limit indicated. (b) If two standard deviations are measured off, 95.46% of the values will be inc...