• MADM

  • Referenced in 134 articles [sw06484]
  • weights (SOIW) method and the weighted Euclidean distance based approach (WEDBA) to consider both...
  • ANN

  • Referenced in 46 articles [sw09854]
  • metrics. These include the well known Euclidean distance, Manhattan distance, and max distance. Based...
  • QSDP

  • Referenced in 47 articles [sw04726]
  • nearest correlation matrix and the Euclidean distance matrix completion problems...
  • BADMM

  • Referenced in 36 articles [sw20288]
  • Bregman divergence to replace squared Euclidean distance. In this paper, we similarly generalize the alternating...
  • QOCA

  • Referenced in 30 articles [sw00756]
  • different metrics: the square of the Euclidean distance and Manhattan distance. It provides three solvers...
  • ROCK

  • Referenced in 73 articles [sw37720]
  • Clustering algorithms usually employ a distance metric based (e.g., euclidean) similarity measure in order ... show that traditional clustering algorithms that use distances between points for clustering are not appropriate...
  • UCR Suite

  • Referenced in 23 articles [sw28369]
  • both Dynamic Time Warping (DTW) and Euclidean Distance (ED). The work first appeared...
  • FindSteinerTree

  • Referenced in 12 articles [sw08245]
  • data points. Smith’s algorithm uses Euclidean distance as the minimizing criterion. It therefore computes ... branch lengths measured as Euclidean distance (Euclidean Steiner tree). In addition to this, the program...
  • CPT

  • Referenced in 16 articles [sw22560]
  • closest point transform finds the Euclidean distance to the triangle mesh. In addition...
  • MWMOTE

  • Referenced in 14 articles [sw32596]
  • assigns them weights according to their euclidean distance from the nearest majority class samples...
  • FaceNet

  • Referenced in 30 articles [sw21626]
  • face images to a compact Euclidean space where distances directly correspond to a measure...
  • FALCONN

  • Referenced in 12 articles [sw26631]
  • supports cosine similarity and the Euclidean distance. The main ingredient of FALCONN is a Locality...
  • DECKARD

  • Referenced in 8 articles [sw09181]
  • cluster these vectors w.r.t. the Euclidean distance metric. Subtrees with vectors in one cluster...
  • latentnet

  • Referenced in 21 articles [sw10550]
  • covariates. In latentnet social distances are represented in a Euclidean space. It also includes...
  • SIMD

  • Referenced in 3 articles [sw03445]
  • efficient algorithm for complete Euclidean distance transform on mesh-connected SIMD The Euclidean distance transform ... value equal to its Euclidean distance to the nearest foreground pixel. It has important uses...
  • PyTOPS

  • Referenced in 3 articles [sw30076]
  • alternative is chosen based on its Euclidean distance from the ideal solution. TOPSIS is widely...
  • KDTREE

  • Referenced in 3 articles [sw18200]
  • neighbors within some Euclidean distance r. The two versions are independent and function fully...
  • GEST

  • Referenced in 3 articles [sw29592]
  • make simple similarity metrics such as Euclidean distance or correlational similarity scores suboptimal...
  • mlaedt-3d

  • Referenced in 1 article [sw40242]
  • Multi-label anisotropic 3d euclidean distance transform (mlaedt-3d). Euclidean distance transform for multi-label ... images using marching parabolas. Compute the Euclidean Distance Transform...
  • Rlof

  • Referenced in 2 articles [sw07332]
  • measures in addition to the default Euclidean distance...