• SFO

  • Referenced in 7 articles [sw08759]
  • allows one to efficiently find provably (near-) optimal solutions for large problems. We present ... problems such as feature selection, clustering, inference and optimized information gathering...
  • clustvarsel

  • Referenced in 16 articles [sw07967]
  • variable selection methodology for model-based clustering which allows to find the (locally) optimal subset...
  • mlr

  • Referenced in 27 articles [sw12357]
  • also an experimental extension for survival analysis, clustering and general, example-specific cost-sensitive learning ... optimization techniques, for single- and multi-objective problems. Filter and wrapper methods for feature selection...
  • SimpleMKL

  • Referenced in 62 articles [sw12290]
  • combination, we solve a standard SVM optimization problem, where the kernel is defined ... beyond binary classification, for problems like regression, clustering (one-class classification) or multiclass classification. Experimental ... wavelet kernels and on some model selection problems related to multiclass classification problems...
  • clustRcompaR

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

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

  • Referenced in 2 articles [sw20895]
  • find the optimal number of clusters, and statistical regression models for SNP selection (Univariate, Lasso...
  • MALSAR

  • Referenced in 4 articles [sw14319]
  • Selection; Robust Multi-Task Feature Learning; Trace-Norm Regularized Multi-Task Learning; Alternating Structural Optimization ... Learning; Robust Low-Rank Multi-Task Learning; Clustered Multi-Task Learning; Multi-Task Learning with...
  • SparseFIS

  • Referenced in 10 articles [sw13736]
  • rules. Hereby, the number of clusters = rules is predefined and denotes a kind of upper ... reasonable granularity. The second phase optimizes the rule weights in the fuzzy systems with respect ... applying a sparsity-constrained steepest descent-optimization procedure. Depending on the sparsity threshold, weights ... thereby, switching off (eliminating) some rules (rule selection). The third phase estimates the linear consequent...
  • ACGSSV

  • Referenced in 9 articles [sw20836]
  • unconstrained optimization test problems, of different structure and complexity, we prove that selection ... conjugate gradient algorithm ADCG based on clustering the eigenvalues of the iteration matrix defined...
  • OTclust

  • Referenced in 1 article [sw35615]
  • Visualization Selection for Cluster Analysis. Providing mean partition for ensemble clustering by optimal transport alignment...
  • IPSep-CoLa

  • Referenced in 9 articles [sw09789]
  • minimum horizontal or vertical separation between selected pairs of nodes. This simple class of linear ... 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...
  • ADPclust

  • Referenced in 0 articles [sw17226]
  • href=”http://dx.doi.org/10.1126/science.1242072”>doi:10.1126/science.1242072>. ADPclust clusters data by finding density peaks in a density-distance ... parameter optimization algorithm, which finds the number of clusters and cluster centroids by comparing average ... silhouettes on a grid of testing clustering results; It also includes a user interactive algorithm ... that allows the user to manually selects cluster centroids from a two dimensional ”density-distance...
  • LCE

  • Referenced in 5 articles [sw25277]
  • from trivial to select the most effective clustering method and its parameterization, for a particular ... hierarchical clustering in one form or another, this is often sub-optimal. Cluster ensemble research...
  • scalpel

  • Referenced in 2 articles [sw19378]
  • dictionary using clustering. Finally, we apply the dictionary in order to select neurons and estimate ... over time, using a sparse group lasso optimization problem. We apply our proposal to three...
  • Mapper

  • Referenced in 1 article [sw36044]
  • Statistical analysis and parameter selection for Mapper. In this article, we study the question ... show that the Mapper is an optimal estimator of the Reeb graph, which gives ... widely used in visualization, clustering and feature selection with the Mapper...
  • DIDES

  • Referenced in 2 articles [sw33762]
  • effective sampling for clustering algorithm. As clustering algorithms become more and more sophisticated to cope ... furthest item from all the already selected ones. Density is managed within a postprocessing step ... avoids many distance calculations thanks to internal optimization. Moreover, it is driven by only...
  • EPCM

  • Referenced in 3 articles [sw03458]
  • selection and/or initialization; (2) the clustering accuracy is often deteriorated due to its coincident clustering ... well labeled, which will weaken its clustering performances in real applications. In this study ... into two parts: the main cluster and auxiliary cluster, and is then utilized to construct ... EPCM is realized by using an alternative optimization approach. The main advantage of EPCM lies...
  • BFAST

  • Referenced in 4 articles [sw20962]
  • Methodology: We introduce a new algorithm specifically optimized for this task, as well ... multi-threaded computation on a computer cluster. The new method is based on creating flexible ... indels. Conclusions: We compare BFAST to a selection of large-scale alignment tools - BLAT...
  • Biomine

  • Referenced in 2 articles [sw28409]
  • where different edge types are weighted to optimize link prediction accuracy. We also propose ... finding a subset of candidate genes that cluster together in the graph. We experimentally evaluate ... predicting links when a set of selected candidate links is available. The predictions obtained using...