このため、[平均最近隣距離分析 (Average Nearest Neighbor)] ツールを使用すると、固定された分析範囲内のフィーチャ間の比較を非常に効果的に行うことができます。下図は、同一のフィーチャ分布でも、指定された分析範囲によって分散されたりクラスタリングされたりする典型的な例です。 [解...
[平均最近隣距離分析 (Average Nearest Neighbor)]ツールでは、各フィーチャの重心と最近隣フィーチャの重心位置との間の距離が測定されます。次に、すべての最近隣距離の平均が計算されます。平均距離が、仮説的なランダム分布の平均よりも小さい場合、分析対象フィーチャの分布は...
After setting up the above parameters, click the “OK” image button in the dialog box to perform the Average Nearest Neighbor Analysis. The analysis results include the following five parameters: the nearest neighbor index, the expected mean distance, the average observation distance, z-score and...
The paper is focused on the analysis of average nearest neighbor degree (ANND) in complex social networks. The ANND of nodes with degree k is defined as the average degree of their neighbors over all nodes with degree k . ANND is one of the well-established tools for the analysis of ...
IEEE Southwest Symposium on Image Analysis and, Interpretation, pp. 97–100 (2010) Messer, K., et al.: “XM2VTSDB: The extended M2VTS database”. In: Second International Conference on Audio and Video-based Biometric Person Authentication March (1999) Heseltine, T., et al.: Three-...
First, we calculate the poll's distance to the nearest survey using a k-nearest-neighbors algorithm. After removing any outliers via winsorizing, we then transform that distance into a probability, representing our confidence that the survey is indeed farther from its "nearest neighbor" survey ...
IPW regression-adjustment estimator Nearest-neighbor matching estimator Propensity-score matching estimator Treatment-effects estimation using lasso Difference-in-differences estimation Endogenous treatment effects within the potential-outcome framework The double-robustness property of the augmented IPW and IPW reg...
Interesting observations arise from the analysis of the inactivity of individual threads. As the termination probability of the Russian roulette is derived from the albedo of the hit surface, the average path length is also dependent on the material properties. This allows us to estimate the number...
about ∑i=1Nσiσi+1 versus ∑i=1Nσiσ2i as “Hamiltonians” then the first sum is simply a nearest neighbor translation-invariant interaction, whereas the second sum is a long-range non-translation invariant interaction. Therefore, from the point of view of computing partition functions, ...
提出了一种基于最小距离均衡系数的TSP求解算法,该算法在最近邻算法(NearestneighborAlgorithm)的基础上进行了改进,引入了距离均衡系数的概念,把优化方法从局部最优转化为全局最优,即将最短路径问题转化为最小距离均衡系数问题。 更多例句>> 2) distance equalization ...