• SnapPy

  • Referenced in 118 articles [sw06874]
  • graphics for Dirichlet domains and cusp neighborhoods with a powerful command-line interface based...
  • J-MEANS

  • Referenced in 69 articles [sw02649]
  • minimum sum of squares clustering problem. The neighborhood of the current solution is defined ... assignments. Moves are made in such neighborhoods until a local optimum is reached ... another heuristic, which fits into the variable neighborhood search metaheuristic framework and uses J-Means...
  • t-SNE

  • Referenced in 99 articles [sw22300]
  • random walks on neighborhood graphs to allow the implicit structure of all of the data...
  • LOF

  • Referenced in 90 articles [sw19311]
  • object is with respect to the surrounding neighborhood. We give a detailed formal analysis showing...
  • PCA-SIFT

  • Referenced in 78 articles [sw04592]
  • image gradient in the feature point’s neighborhood; however, instead of using SIFT’s smoothed...
  • node2vec

  • Referenced in 41 articles [sw27202]
  • that maximizes the likelihood of preserving network neighborhoods of nodes. We define a flexible notion ... node’s network neighborhood and design a biased random walk procedure, which efficiently explores diverse ... neighborhoods. Our algorithm generalizes prior work which is based on rigid notions of network neighborhoods ... argue that the added flexibility in exploring neighborhoods is the key to learning richer representations...
  • COMET

  • Referenced in 72 articles [sw03051]
  • After an overview of local search including neighborhoods, heuristics, and metaheuristics, the book presents...
  • MCODE

  • Referenced in 48 articles [sw35748]
  • based on vertex weighting by local neighborhood density and outward traversal from a locally dense...
  • HLM

  • Referenced in 44 articles [sw06516]
  • sociology (individuals at level 1, neighborhoods at level 2). It is clear that the analysis...
  • flexclust

  • Referenced in 27 articles [sw04583]
  • numerous visualization methods for cluster results (neighborhood graphs, convex cluster hulls, barcharts of centroids...
  • BRISK

  • Referenced in 16 articles [sw29764]
  • retrieved by dedicated sampling of each keypoint neighborhood...
  • R-SPLINE

  • Referenced in 11 articles [sw29802]
  • retrospective search with piecewise-linear interpolation and neighborhood enumeration. We consider simulation-optimization (SO) models ... using Piecewise-Linear Interpolation and a discrete Neighborhood Enumeration, to asymptotically identify a local minimum...
  • GOAL

  • Referenced in 13 articles [sw15098]
  • Kingston High School Timetabling Engine. Several neighborhood structures were developed and used in a hybrid...
  • iDrug-Target

  • Referenced in 13 articles [sw22415]
  • misprediction. In this study, we adopted the neighborhood cleaning rule and synthetic minority over-sampling...
  • Ts2pack

  • Referenced in 13 articles [sw23796]
  • increase the size of the associated neighborhoods, and thus the quality of the search, without...
  • AQUARS

  • Referenced in 12 articles [sw07570]
  • model of the objective function. It ignores neighborhoods of fully explored local minima...
  • LPG

  • Referenced in 12 articles [sw20690]
  • planning graph to define the search neighborhood and to evaluate its elements using a parametrized...
  • SNESIM

  • Referenced in 6 articles [sw13366]
  • uninformed locations in the conditioning data search neighborhood. Thus, two improvements are proposed to maximize ... informed to uniformed locations in search neighborhoods: a new multiple-grid approach introducing additional intermediary ... subgrids; and a new search neighborhood designing process to preferentially include previously simulated node locations...
  • SA-cluster

  • Referenced in 10 articles [sw06867]
  • various criteria such as vertex connectivity or neighborhood similarity. Many existing graph clustering methods mainly...
  • SO-I

  • Referenced in 10 articles [sw10100]
  • variable neighborhood search, and a version of SO-I that only uses a local search...