Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 209,920,997 papers from all fields of science
Search
Sign In
Create Free Account
Euclidean distance
Known as:
Euclidean metric
, Euclidean
, Euclidian distance
Expand
In mathematics, the Euclidean distance or Euclidean metric is the "ordinary" (i.e. straight-line) distance between two points in Euclidean space…
Expand
Wikipedia
(opens in a new tab)
Create Alert
Alert
Related topics
Related topics
50 relations
Alignment-free sequence analysis
Backpropagation
Chemical database
Chemical similarity
Expand
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Review
2015
Review
2015
Euclidean Distance Matrices: Essential theory, algorithms, and applications
Ivan Dokmanić
,
R. Parhizkar
,
J. Ranieri
,
M. Vetterli
IEEE Signal Processing Magazine
2015
Corpus ID: 8603398
Euclidean distance matrices (EDMs) are matrices of the squared distances between points. The definition is deceivingly simple…
Expand
Review
2012
Review
2012
Euclidean Distance Geometry and Applications
Leo Liberti
,
C. Lavor
,
N. Maculan
,
A. Mucherino
SIAM Review
2012
Corpus ID: 15472897
Euclidean distance geometry is the study of Euclidean geometry based on the concept of distance. This is useful in several…
Expand
Highly Cited
2009
Highly Cited
2009
Beyond the Euclidean distance: Creating effective visual codebooks using the Histogram Intersection Kernel
Jianxin Wu
,
James M. Rehg
IEEE International Conference on Computer Vision
2009
Corpus ID: 10632577
Common visual codebook generation methods used in a Bag of Visual words model, e.g. k-means or Gaussian Mixture Model, use the…
Expand
Highly Cited
2004
Highly Cited
2004
Convex Optimization & Euclidean Distance Geometry
J. Dattorro
2004
Corpus ID: 118300585
Optimization is the science of making a best choice in the face of conflicting requirements. Any convex optimization problem has…
Expand
Highly Cited
2004
Highly Cited
2004
Similarity between Euclidean and cosine angle distance for nearest neighbor queries
Gang Qian
,
S. Sural
,
Yuelong Gu
,
S. Pramanik
ACM Symposium on Applied Computing
2004
Corpus ID: 207750419
Understanding the relationship among different distance measures is helpful in choosing a proper one for a particular application…
Expand
Highly Cited
2003
Highly Cited
2003
A Linear Time Algorithm for Computing Exact Euclidean Distance Transforms of Binary Images in Arbitrary Dimensions
C. Maurer
,
Rensheng Qi
,
V. Raghavan
IEEE Transactions on Pattern Analysis and Machine…
2003
Corpus ID: 1708973
A sequential algorithm is presented for computing the exact Euclidean distance transform (DT) of a k-dimensional binary image in…
Expand
Highly Cited
1999
Highly Cited
1999
Solving Euclidean Distance Matrix Completion Problems Via Semidefinite Programming
A. Alfakih
,
A. Khandani
,
Henry Wolkowicz
Computational optimization and applications
1999
Corpus ID: 6130341
Given a partial symmetric matrix A with only certain elements specified, the Euclidean distance matrix completion problem (EDMCP…
Expand
Highly Cited
1995
Highly Cited
1995
Linear Time Euclidean Distance Algorithms
H. Breu
,
Joseph Gil
,
D. Kirkpatrick
,
M. Werman
IEEE Transactions on Pattern Analysis and Machine…
1995
Corpus ID: 22636389
Two linear time (and hence asymptotically optimal) algorithms for computing the Euclidean distance transform of a two-dimensional…
Expand
Highly Cited
1987
Highly Cited
1987
Compositional dissimilarity as a robust measure of ecological distance
D. Faith
,
P. Minchin
,
L. Belbin
Vegetatio
1987
Corpus ID: 10561742
The robustness of quantitative measures of compositional dissimilarity between sites was evaluated using extensive computer…
Expand
Highly Cited
1980
Highly Cited
1980
Euclidean distance mapping
P. Danielsson
1980
Corpus ID: 2459704
By clicking accept or continuing to use the site, you agree to the terms outlined in our
Privacy Policy
(opens in a new tab)
,
Terms of Service
(opens in a new tab)
, and
Dataset License
(opens in a new tab)
ACCEPT & CONTINUE