Algorithm for Means-Ends Analysis The algorithm provides the best possible solution to a problem and contains the well-defined step-by-step correct resolution to a given problem. One should blindly follow this
This process is experimental and the keywords may be updated as the learning algorithm improves.doi:10.1007/978-3-642-96868-6_138Bundy, AlanEdinburgh UniversityWallen, LincolnSpringer Berlin Heidelberg
Automated spectral analysis: Mapping minerals, amorphous materials, environmental materials, vegetation, water, ice and snow, and other materials: The USGS tricorder algorithm, in: Proceedings of the Lunar & Planetary Science Conference Lunar and Planetary Institute, Houston, TX (1995), p. 255 Google...
Morse, L., Teodorescu, M.H.M., Awwad, Y.et al.Do the Ends Justify the Means? Variation in the Distributive and Procedural Fairness of Machine Learning Algorithms.181, 1083–1095 (2022). https://doi.org/10.1007/s10551-021-04939-5 ...
An algorithm of the numerical decision which mounted in the computing environment were used at simulation of the longitudinal impact to the stuck drill pipe. In this article we designed a wave chart of the equation system of the drill pipe and conducted step-by-step calculation of a collision ...
Finally, a K-means clustering algorithm was employed to cluster the factor scores of each OLP to obtain credit rating results. 3.1. Factor analysis Factor analysis is a statistical research method that uses the correlation dependence relations among variables to reduce dimensionality. The underlying ...
In contrast to FFT, Fast Fourier Transformation, the Goertzel algorithm can always be employed if a known, discrete frequency is to be analyzed. This is the case in the displacement sensor arrangement. A steep-edged, frequency selective amplitude computation can thus especially take place in a ...
(XAI) refers to methods and techniques that produce models which show why and how an AI algorithm has made a certain decision. It helps stakeholders understand how decisions are being made in different formats: by identifying what input factors were most important in making an inference and by ...
3.Kanungo T;Mount DM;Netanyahu NS An Efficient K-means Clustering Algorithm:Analysis and Implementation 2002(07) 4.刘立平;孟志青 一种选取初始聚类中心的方法[期刊论文]-计算机工程与应用 2004(08) 5.Ayad H;Kamel M Topic Discovery from Text Using Aggregation of Different Clustering Methods[外文会议]...
The Dijkstra algorithm, used to compute the shortest path in a network of graph nodes, then finds which of these 4 possible path combinations is the shortest and thus will serve as the center part of the route. To connect the route to the user-specified start and end waypoints, connector ...