• curvclust

  • Referenced in 6 articles [sw07435]
  • Wavelet-based clustering for mixed-effects functional models in high dimension ... propose a method for high-dimensional curve clustering in the presence of interindividual variability. Curve ... clustering has longly been studied especially using splines to account for functional random effects. However ... first publicly available package that performs curve clustering with random effects in the high dimensional...
  • MOCK

  • Referenced in 44 articles [sw04156]
  • clustering techniques, and we analyse how MOCK’s Pareto fronts compare to the performance curves...
  • DPpackage

  • Referenced in 72 articles [sw10495]
  • curve analysis, interval-censored data, binary regression data, item response data, longitudinal and clustered data...
  • dChipSNP

  • Referenced in 6 articles [sw18745]
  • dChipSNP: significance curve and clustering of SNP-array-based loss-of-heterozygosity. Motivation: Oligonucleotide microarrays...
  • clustEff

  • Referenced in 2 articles [sw31442]
  • package clustEff: Clusters of Effects Curves in Quantile Regression Models. Clustering method to cluster both...
  • funFEM

  • Referenced in 7 articles [sw11129]
  • allows to cluster functional data by modeling the curves within a common and discriminative functional...
  • FunCC

  • Referenced in 2 articles [sw40495]
  • model able to jointly bi-cluster and align curves. Different simulation studies are performed...
  • DOTUR

  • Referenced in 6 articles [sw15052]
  • clustering algorithms for all possible distances and then constructs rarefaction and collector’s curves...
  • GEMLeR

  • Referenced in 2 articles [sw12033]
  • area under ROC curve, etc.) for classification, feature selection or clustering algorithms. This repository...
  • Funclustering

  • Referenced in 4 articles [sw21038]
  • clustering. This packages proposes a model-based clustering algorithm for multivariate functional data. The parametric ... take into account the dependence among curves...
  • CIP

  • Referenced in 2 articles [sw12675]
  • linear) curve fitting and data smoothing (with cubic splines), clustering (k-medoids...
  • MWMOTE

  • Referenced in 14 articles [sw32596]
  • generated samples lie inside some minority class cluster. MWMOTE has been evaluated extensively on four ... mean) and area under the receiver operating curve (ROC), usually known as area under curve...
  • Nipype

  • Referenced in 2 articles [sw27887]
  • development of algorithms and reduces the learning curve necessary to use different packages. Nipype supports ... remote execution on multi-core machines and clusters, without additional scripting. Nipype is Berkeley Software...
  • PAMPAC

  • Referenced in 2 articles [sw17428]
  • present two examples of convoluted solution curves of high-dimensional systems showing that speed ... three is attainable on a small cluster...
  • funcy

  • Referenced in 1 article [sw21037]
  • funcy: Functional Clustering Algorithms. Unified framework to cluster functional data according to one of seven ... based on the projection of the curves onto a basis. The main function funcit() calls...
  • MetaTracts

  • Referenced in 2 articles [sw42084]
  • visible. First, a coarse version of integral curves is used to trace subsections ... these extracted fiber bundle sections (MetaTracts) are clustered using a two-step approach: first...
  • AMIKS

  • Referenced in 2 articles [sw22460]
  • numerical experiments obtained on the NKS-30T cluster of the Siberian Supercomputer Center ... such as frequency characteristics, generalizing the integral curve, phase portrait as well as the spectral...
  • alsace

  • Referenced in 1 article [sw26727]
  • mixtures. Alternating Least Squares (or Multivariate Curve Resolution) for analytical chemical data, in particular hyphenated ... throughput analysis, including definition of time windows, clustering of profiles, retention time correction, etcetera...
  • USEARCH

  • Referenced in 1 article [sw32941]
  • users world-wide. USEARCH offers search and clustering algorithms that are often orders of magnitude ... documentation and support. This cuts your learning curve, reduces the number of steps you need...
  • Dips

  • Referenced in 2 articles [sw20755]
  • introduces many new features, including 3D stereosphere, curved boreholes, joint spacing / RQD analysis, contour arbitrary ... features, such as statistical contouring of orientation clustering, mean orientation and confidence calculation, cluster variability...