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  1. 3 dni temu · Sample-distance and similarity matrices. Relationship/covariance. --make-rel ['cov'] ['meanimpute'] [ {square | square0 | triangle}] [ {zs | bin | bin4}] --make-rel is the primary interface to PLINK's genetic relationship matrix and covariance matrix calculator.

  2. 6 dni temu · Create a distance matrix between nodes for spatial models. Description. Calculate the euclidian distances beween coordinates for all coordinates within the cutoff. Usage. distance_matrix(x, y, cutoff, min_dist = NULL, na_fail = TRUE) Arguments. Value. dgCMatrix. Examples. ## Generate a grid 10 x 10 and place one node in each cell.

  3. 5 dni temu · Calculate distance matrix between points in the data. Description. dist_mat calculates pairwise distances between all points in the data. Usage. dist_mat(dat) Arguments. data.frame of movement data for a single burst. Needs to include burst, date, long, lat. Details. Distances are calculated using the function distGeo.

  4. 4 dni temu · Log-det heuristic for matrix rank minimization with applications to Hankel and Euclidean distance matrices. M. Fazel, H. Hindi, and S. Boyd. Adaptive management of network resources. D. O'Neill, D. Julian, and S. Boyd. Optimal routes and flows in congestion constrained ad hoc networks. D. O'Neill, D. Julian, and S. Boyd

  5. 1 dzień temu · KNN algorithm is applied in the context of classifying samples based on their similarity in terms of beams using the Euclidean distance measure. With a predefined beam codebook, each beam covers a spatial direction within the FoV. Thus, KNN considers that similar or neighbor positions (using the location coordinate tuples) should have similar ...

  6. 3 dni temu · MATLAB code for solving ADMM for the SDP relaxation of the QAP, GitHub project. MATLAB code for solving the Euclidean Distance Matrix completion problem, GitHub project.

  7. 4 dni temu · Representational Similarity Analysis (RSA) is a neuroimaging-specific appelation to refer to statistics applied to the confusion matrix also referred to as the representational dissimilarity matrices (RDM).

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