• ANN

  • Referenced in 46 articles [sw09854]
  • many ways. ANN assumes that distances are measured using any class of distance functions called ... known Euclidean distance, Manhattan distance, and max distance. Based on our own experience, ANN performs ... library also comes with test programs for measuring the quality of performance...
  • ROCK

  • Referenced in 72 articles [sw37720]
  • algorithms usually employ a distance metric based (e.g., euclidean) similarity measure in order to partition ... show that traditional clustering algorithms that use distances between points for clustering are not appropriate ... propose a novel concept of links to measure the similarity/proximity between a pair of data ... distances when merging clusters. Our methods naturally extend to non-metric similarity measures that...
  • flexclust

  • Referenced in 27 articles [sw04583]
  • centroids cluster analysis supporting arbitrary distance measures and centroid computation. Further cluster methods include hard...
  • Metro

  • Referenced in 78 articles [sw07731]
  • Metro: measuring error on simplified surfaces. Metro is a tool designed to evaluate the difference ... surface sampling and point-to-surface distance computation...
  • PhFit

  • Referenced in 24 articles [sw01789]
  • allows the user to choose the distance measure according to which the fitting is performed...
  • GAPS

  • Referenced in 14 articles [sw02613]
  • using a new point symmetry-based distance measure. An evolutionary clustering technique is described that ... uses a new point symmetry-based distance measure. The algorithm is therefore able to detect ... proposed GA with Point Symmetry (GAPS) distance based clustering algorithm is able to detect...
  • WebPlotDigitizer

  • Referenced in 19 articles [sw34522]
  • thousands of users; Also useful for measuring distances or angles between various features; More...
  • ViennaRNA

  • Referenced in 23 articles [sw10504]
  • structure comparison, the package contains several measures of distance (dissimilarities) using either string alignment...
  • FluTE

  • Referenced in 10 articles [sw31627]
  • spread of infectious disease and the measures needed to contain or mitigate them. To help ... them using pharmaceutical interventions and social distancing measures. Computer simulation models play an essential role...
  • TED

  • Referenced in 10 articles [sw32694]
  • Tree Edit Distance website is a reference place to measuring similarity of tree ... structured data using the tree edit distance (TED) measure. The tree edit distance is defined...
  • SA-cluster

  • Referenced in 9 articles [sw06867]
  • attribute similarities through a unified distance measure. SA-Cluster performs matrix multiplication to calculate...
  • FaceNet

  • Referenced in 30 articles [sw21626]
  • compact Euclidean space where distances directly correspond to a measure of face similarity. Once this...
  • ProClust

  • Referenced in 6 articles [sw35761]
  • clustering algorithm which uses an asymmetric distance measure, scaling similarity values based on the length ... parameters. The heuristics of the asymmetric distance measure used neither solve the multi-domain problem...
  • mipmatch

  • Referenced in 14 articles [sw06773]
  • total sum of distances and a weighted sum of specific measures of covariate imbalance ... minimizing the total sum of distances while constraining the measures of imbalance to be less...
  • PDEFIT

  • Referenced in 18 articles [sw00691]
  • from given experimental data the distance of these measured data from the solution...
  • EASY - FIT

  • Referenced in 9 articles [sw05976]
  • measurements, the minimum least squares distances of measured data from a fitting criterion are computed...
  • multivariance

  • Referenced in 7 articles [sw31266]
  • package multivariance: Measuring Multivariate Dependence Using Distance Multivariance. Distance multivariance is a measure of dependence ... Dependence Structures: Estimation and Visualization Using Distance Multivariance. . B. Böttcher, M. Keller-Ressel, R.L. Schilling ... Keller-Ressel, R.L. Schilling, Distance multivariance: New dependence measures for random vectors. . G. Berschneider ... random fields, Gaussian quadratic forms and sample distance multivariance...
  • GADDI

  • Referenced in 6 articles [sw18895]
  • complexity significantly. We propose a novel distance measurement which reintroduces the idea of frequent substructures ... large graph. We devise the novel structure distance based approach (GADDI) to efficiently find matches...
  • clusterSim

  • Referenced in 6 articles [sw16124]
  • package clusterSim. Distance measures (GDM1, GDM2, Sokal-Michener, Bray-Curtis, for symbolic interval-valued data...
  • FindSteinerTree

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