• MOCK

  • Referenced in 40 articles [sw04156]
  • this idea by describing an advanced multiobjective clustering algorithm, MOCK, with the capacity to identify ... front, and to automatically determine the number of clusters in a data set. The algorithm ... which explain its superiority to single-objective clustering techniques, and we analyse how MOCK ... with a range of different numbers of clusters specified...
  • fpc

  • Referenced in 24 articles [sw07105]
  • assessment. Methods for estimation of the number of clusters: Calinski-Harabasz, Tibshirani and Walther ... implemented in R, including estimating the number of clusters with kmeans, pam and clara. Modality...
  • Algorithm 39

  • Referenced in 39 articles [sw20048]
  • defined as finding a given number of clusters of observations such that the overall...
  • NbClust

  • Referenced in 16 articles [sw15908]
  • package NbClust: Determining the Best Number of Clusters in a Data Set. It provides ... indexes for determining the optimal number of clusters in a data set and offers...
  • clusterGeneration

  • Referenced in 13 articles [sw23400]
  • degree of separation, number of clusters, number of variables, number of noisy variables...
  • ScaLAPACK

  • Referenced in 404 articles [sw00830]
  • Intel series, TM CM-5, clusters of workstations, and any system for which ... prebuilt version of the library for a number of computers, example programs, and the full...
  • KmL

  • Referenced in 12 articles [sw11098]
  • varying the starting conditions and the number of clusters looked for. Its graphical interface helps ... user to choose the appropriate number of clusters when the classic criterion is not efficient...
  • GAKREM

  • Referenced in 10 articles [sw02712]
  • hybrid clustering algorithm We introduce a novel clustering algorithm named GAKREM (Genetic Algorithm K-means ... need to specify a priori the number of clusters, termination in local optima, and lengthy ... each configuration of parameters and the number of clusters resulting from the EM is used...
  • glmmML

  • Referenced in 8 articles [sw07509]
  • fixed effects model, assuming that all cluster intercepts are distinct fixed parameters; moreover, a bootstrapping ... approach, which is necessary when the number of clusters is large. In a simulation study ... effects variance is positive and the number of clusters is large...
  • hlib

  • Referenced in 63 articles [sw04080]
  • number of integral operators as well as support routines for the creation of cluster trees...
  • OSCAR

  • Referenced in 46 articles [sw03026]
  • Simultaneous regression shrinkage, variable selection, and supervised clustering of predictors with OSCAR. Variable selection ... challenging, particularly in situations with a large number of predictors with possibly high correlations, such ... method, called OSCAR (octagonal shrinkage and clustering algorithm for regression), is proposed to simultaneously select...
  • CLUES

  • Referenced in 10 articles [sw02735]
  • contains functions for automatically estimating the number of clusters and getting the final cluster partition...
  • SparseFIS

  • Referenced in 10 articles [sw13736]
  • iterative vector quantization and projects the obtained clusters onto 1-D axes to form ... parts of the rules. Hereby, the number of clusters = rules is predefined and denotes...
  • latentnet

  • Referenced in 16 articles [sw10550]
  • there is any clustering (since if the preferred number of groups is 1, there...
  • Onto-Tools

  • Referenced in 10 articles [sw10974]
  • translate easily lists of accession numbers, UniGene clusters and Affymetrix probes into one another...
  • cclust

  • Referenced in 9 articles [sw11278]
  • Convex Clustering Methods and Clustering Indexes. Convex Clustering methods, including K-means algorithm, On-line ... several indexes for finding the number of clusters in a data...
  • GenSoFNN

  • Referenced in 9 articles [sw08761]
  • through the proper connections of these computed clusters. However, most existing neural fuzzy systems (whether ... prior knowledge such as the number of clusters to be computed. Hence, a novel neural...
  • CTex

  • Referenced in 9 articles [sw21611]
  • colors and estimation of the optimal number of clusters in the image. The texture features...
  • SMART

  • Referenced in 3 articles [sw02795]
  • algorithm that automatically identifies the appropriate number of clusters. This paper presents a subspace ... identification of the `true’ number of clusters. The algorithm determines the number of clusters ... consistent clustering results and the correct number of clusters. Some real datasets are used...
  • PASCAL VOC

  • Referenced in 119 articles [sw36507]
  • datasets we introduce a number of novel evaluation methods: a bootstrapping method for determining whether ... with different proportions of positive instances; a clustering method for visualising the performance across multiple...