• fpc

  • Referenced in 29 articles [sw07105]
  • including corrected Rand index. Cluster-wise cluster stability assessment. Methods for estimation of the number ... bootstrap stability. Gaussian/multinomial mixture fitting for mixed continuous/categorical variables. Variable-wise statistics for cluster interpretation...
  • flexclust

  • Referenced in 28 articles [sw04583]
  • bootstrap methods for the analysis of cluster stability...
  • clv

  • Referenced in 4 articles [sw11279]
  • functions and examples of usage for cluster stability approach that might be applied to algorithms...
  • FIESTA 3

  • Referenced in 16 articles [sw18212]
  • decomposiTion Approach). This version presents features like cluster-parallelization, new asymptotic expansion algorithms, calculations ... well as multiple speed, memory, and stability improvements...
  • bootcluster

  • Referenced in 1 article [sw29865]
  • package bootcluster: Bootstrapping Estimates of Clustering Stability. Implementation of the bootstrapping approach for the estimation ... clustering stability on observation and cluster level, as well as its application in estimating...
  • ClusCorr98

  • Referenced in 4 articles [sw01994]
  • general validation of results of hierarchical clustering based on the adjusted Rand index is recommended ... data from economics. Here the stability of each cluster can be assessed additionally...
  • reval

  • Referenced in 1 article [sw34898]
  • determine the best number of clusters with stability-based relative clustering validation. Determining the number ... Python package that leverages stability-based relative clustering validation methods to determine best clustering solutions ... developing a stability-based method that selects the best clustering solution as the one that ... allowing further assessment of the stability of different clustering mechanisms...
  • hdbscan

  • Referenced in 4 articles [sw39421]
  • result to find a clustering that gives the best stability over epsilon. This allows HDBSCAN...
  • SDPARA

  • Referenced in 18 articles [sw07707]
  • show that the SDPARA on a PC cluster consisting of 64 processors attains high scalability ... large scale SDPs without losing the stability of the SDPA...
  • cstab

  • Referenced in 2 articles [sw34899]
  • number of clusters in cluster analysis using stability methods...
  • GenSoFNN

  • Referenced in 9 articles [sw08761]
  • through the proper connections of these computed clusters. However, most existing neural fuzzy systems (whether ... stability-plasticity dilemma; and (4) needs for prior knowledge such as the number of clusters...
  • c-sat

  • Referenced in 8 articles [sw00168]
  • Parallelizing modern SAT solvers for clusters such as Beowulf is an important challenge both ... terms of performance scalability and stability. This paper describes a SAT Solver ... with reasonably small communication overhead on various clusters. On an eight-node cluster with...
  • clusterStab

  • Referenced in 0 articles [sw25666]
  • Bioconductor/R package clusterStab: Compute cluster stability scores for microarray data. This package can be used ... estimate the number of clusters in a set of microarray data ... well as test the stability of these clusters...
  • Mosclust

  • Referenced in 4 articles [sw09071]
  • selection for clustering problems) implements algorithms based on the concept of stability for discovering significant...
  • ConsensusClusterPlus

  • Referenced in 2 articles [sw42419]
  • unknown. The consensus clustering (CC) method provides quantitative and visual stability evidence for estimating ... visualizations including item tracking, item-consensus and cluster-consensus plots. These new features provide users...
  • PoPMuSiC

  • Referenced in 4 articles [sw16879]
  • stability of the structure. It may be used to detect structural weaknesses, i.e. clusters ... have been optimized for function rather than stability...
  • M3C

  • Referenced in 1 article [sw41193]
  • Monti consensus clustering algorithm is a widely used method which uses stability selection to estimate ... clustering (M3C), which is based on this algorithm. M3C simulates null distributions of stability scores ... corrects the inherent bias of consensus clustering as demonstrated on simulated and real expression data...
  • Cheops

  • Referenced in 1 article [sw29858]
  • special modifications such as clustering, which can affect visual stability. This paper introduces Cheops...
  • FLEXI

  • Referenced in 8 articles [sw36412]
  • compressible Navier-Stokes equations on CPU clusters. We describe the numerical algorithms and implementation details ... important but often overlooked issues of code stability, reproducibility and user-friendliness. The benefits gained...
  • FonaDyn

  • Referenced in 1 article [sw26241]
  • dynamics of EGG waveforms, using statistical clustering of the cycle-synchronous EGG Fourier components ... their sample entropy. The prevalence and stability of different EGG waveshapes are mapped as colored ... defined thresholds or categories. With appropriately ‘trained’ clusters, FonaDyn can classify and map voice regimes...