• NbClust

  • Referenced in 16 articles [sw15908]
  • indexes for determining the optimal number of clusters in a data set and offers...
  • CTex

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

  • Referenced in 42 articles [sw04156]
  • explicit optimization of a partitioning with respect to two complementary clustering objectives. Here, we extend ... this idea by describing an advanced multiobjective clustering algorithm, MOCK, with the capacity to identify ... Pareto front, and to automatically determine the number of clusters in a data...
  • SamP2Cet

  • Referenced in 1 article [sw27818]
  • clusters (multicentre trial) or to entire clusters (cluster randomized trial). Such trials need careful planning ... available research resources. The optimal number of clusters and the optimal number of subjects ... cluster for both types of cost-effectiveness trials can be determined by using optimal design ... which enables the researchers to optimize the numbers of clusters and subjects per cluster...
  • BALD

  • Referenced in 2 articles [sw20895]
  • statistic to find the optimal number of clusters, and statistical regression models for SNP selection...
  • ClusterR

  • Referenced in 2 articles [sw31257]
  • data) and estimate the optimal number of clusters. The package takes advantage of ’RcppArmadillo...
  • mlr

  • Referenced in 27 articles [sw12357]
  • Learning in R. Interface to a large number of classification and regression techniques, including machine ... also an experimental extension for survival analysis, clustering and general, example-specific cost-sensitive learning ... bootstrapping and subsampling. Hyperparameter tuning with modern optimization techniques, for single- and multi-objective problems...
  • MSeasy

  • Referenced in 1 article [sw11282]
  • initial_DATA matrix, identifies the optimal number of clusters, produces different files for facilitating...
  • mbclusterwise

  • Referenced in 1 article [sw27914]
  • validation procedure to select the optimal number of clusters and dimensions...
  • JUNG

  • Referenced in 11 articles [sw12112]
  • distribution of JUNG includes implementations of a number of algorithms from graph theory, data mining ... network analysis, such as routines for clustering, decomposition, optimization, random graph generation, statistical analysis...
  • SparseFIS

  • Referenced in 11 articles [sw13736]
  • parts of the rules. Hereby, the number of clusters = rules is predefined and denotes ... reasonable granularity. The second phase optimizes the rule weights in the fuzzy systems with respect...
  • BotGraph

  • Referenced in 3 articles [sw21754]
  • computer cluster, and explore a number of performance optimization techniques. Applying it to two months...
  • clustRcompaR

  • Referenced in 0 articles [sw18458]
  • agglomerative clustering, and k-means clustering. Selects optimal number of clusters to maximize ”variance explained...
  • IFP-C3D

  • Referenced in 5 articles [sw09125]
  • been optimized for running on these Cluster machines. IFP-C3D is parallelized using the Message ... over a large number of processors. Moreover, IFP-C3D uses an optimized linear algebraic library...
  • LS-SVMlab

  • Referenced in 26 articles [sw07367]
  • minimization. In the methods one solves convex optimization problems, typically quadratic programs. Least Squares Support ... Recent developments are in kernel spectral clustering, data visualization and dimensionality reduction, and survival analysis ... SVMlab toolbox contains Matlab/C implementations for a number of LS-SVM algorithms...
  • LCE

  • Referenced in 5 articles [sw25277]
  • large number of possibilities. Although many researchers still prefer to use hierarchical clustering ... form or another, this is often sub-optimal. Cluster ensemble research solves this problem...
  • iBBiG

  • Referenced in 2 articles [sw24693]
  • Genesets. BBiG is a bi-clustering algorithm which is optimizes for binary data analysis ... meta-gene set analysis of large numbers of gene expression datasets. The iterative algorithm extracts ... require prior knowledge of the number or scale of clusters and allows discovery of clusters...
  • V-MDAV

  • Referenced in 6 articles [sw11787]
  • size constraints on the resulting clusters or groups; the number of groups is unconstrained ... obtain ing anonymized versions of confidential microdata. Optimally solving microaggregation on multivariate data sets...
  • IPSep-CoLa

  • Referenced in 9 articles [sw09789]
  • layout of graphs with grouped nodes (called clusters). In the stress majorization force-directed layout ... considerably faster than using generic constraint optimization techniques and is comparable in speed to unconstrained ... technique with sample data from a number of practical applications including gene-activation networks, terrorist...
  • PARMONC

  • Referenced in 8 articles [sw09209]
  • fast and reliable long-period parallel random numbers generator. Routines from the PARMONC ... automatically distributed among processors in an optimal way. The routines enable resuming the simulation that ... PARMONC is implemented on high-performance clusters of the Siberian Supercomputer Center...