
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 meshconnected 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...

mlaedt3d
 Referenced in 1 article
[sw40242]
 Multilabel anisotropic 3d euclidean distance transform (mlaedt3d). Euclidean distance transform for multilabel ... images using marching parabolas. Compute the Euclidean Distance Transform...

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