WebOct 1, 2012 · We use the Hoshen–Kopelman algorithm [12] for occupied sites labelling. In the Hoshen–Kopelman scheme each site has one label: all sites in a given cluster have the same labels and different clusters have assigned different labels. WebAug 1, 1997 · An enhanced Hoshen-Kopelman (EHK) algorithm for calculating cluster structure parameters is presented for the site percolation problem. The EHK algorithm enables efficient calculation of cluster spatial moments, perimeters, and bounding boxes for very large Monte Carlo simulated lattices. The algorithm is used to compute the squared …

hoshen-kopelman · GitHub Topics · GitHub

WebRelatively simple to implement and understand, the two-pass algorithm, (also known as the Hoshen–Kopelman algorithm) iterates through 2-dimensional binary data. The algorithm makes two passes over the image: the first pass to assign temporary labels and record equivalences, and the second pass to replace each temporary label by the smallest ... WebApr 1, 2015 · Strong scaling of the parallelised Hoshen–Kopelman algorithm for systems of volume V = 1024 3 containing n cl clusters, as performed on JUQUEEN, the Blue Gene/Q supercomputer at the Jülich Supercomputing Centre. The work to be done depends on the number of clusters in the system, and, as some work is done by the root process only, … eating fruit weight loss

Hoshen–Kopelman algorithm - Wikiwand

WebThe Hoshen–Kopelman algorithm is a simple and efficient algorithm for labeling clusters on a grid, where the grid is a regular network of cells, with the cells being either occupied or unoccupied. This algorithm is based on a well-known union-finding algorithm. The algorithm was originally described by J. Hoshen and R. Kopelman in their 1976 paper … WebThe identification using the Hosh-Kopelman algorithm works as follows. We start in the upper left corner and scan the lattice row by row from left to right. To each site, we then associate an integer that serves the purpose of identifying the respective cluster. The Hoshen–Kopelman algorithm is a simple and efficient algorithm for labeling clusters on a grid, where the grid is a regular network of cells, with the cells being either occupied or unoccupied. This algorithm is based on a well-known union-finding algorithm. The algorithm was originally described … See more Percolation theory is the study of the behavior and statistics of clusters on lattices. Suppose we have a large square lattice where each cell can be occupied with the probability p and can be empty with the probability 1 – p. … See more In this algorithm, we scan through a grid looking for occupied cells and labeling them with cluster labels. The scanning process is called a raster scan. The algorithm begins with scanning the grid cell by cell and checking whether the cell is occupied or not. … See more Consider the following example. The dark cells in the grid in figure (a) represent that they are occupied and the white ones are empty. So by running H–K algorithm on this input we would … See more • Determination of Nodal Domain Area and Nodal Line Lengths • Nodal Connectivity Information • Modeling of electrical conduction See more This algorithm is a simple method for computing equivalence classes. Calling the function union(x,y) returns whether items x and y are members of the same equivalence class. … See more During the raster scan of the grid, whenever an occupied cell is encountered, neighboring cells are scanned to check whether any of them have already been scanned. If we find already scanned neighbors, the union operation is performed, to … See more • K-means clustering algorithm • Fuzzy clustering algorithm • Gaussian (Expectation Maximization) clustering algorithm See more eating fruits and vegetables for weight loss