• funHDDC

  • Referenced in 15 articles [sw11130]
  • clustering in group-specific functional subspaces: Model-based clustering of time series in group-specific ... proposed in the multivariate context. The resulting clustering method, called funHDDC, is based ... functional data in group-specific functional subspaces. By constraining model parameters within and between groups ... model parameters and the group-specific functional subspaces. Experiments on real-world datasets show that...
  • SMART

  • Referenced in 3 articles [sw02795]
  • SMART: a subspace clustering algorithm that automatically identifies the appropriate number of clusters. This paper ... presents a subspace k-means clustering algorithm for high-dimensional data with automatic selection ... adjusting the penalty term factor. A subspace cluster validation index is proposed and employed ... verify the subspace clustering results generated by the algorithm. The experimental results from both...
  • funFEM

  • Referenced in 4 articles [sw11129]
  • package funFEM: Clustering in the Discriminative Functional Subspace. The funFEM algorithm (Bouveyron ... cluster functional data by modeling the curves within a common and discriminative functional subspace...
  • wskm

  • Referenced in 2 articles [sw18037]
  • means (ewkm) is a weighted subspace clustering algorithm that is well suited to very high...
  • orclus

  • Referenced in 1 article [sw18038]
  • package orclus: ORCLUS subspace clustering. Functions to perform subspace clustering and classification...
  • MDCGen

  • Referenced in 1 article [sw32196]
  • implements classic pursued features: (a) customization of cluster-separation, (b) overlap control, (c) addition ... constraints per dimension, (f) creation of subspace clusters and subspace outliers, (g) importing arbitrary distributions ... perform a more comprehensive testing of clustering algorithms...
  • Soft-LOST

  • Referenced in 7 articles [sw14921]
  • oriented lines. Robust clustering of data into overlapping linear subspaces is a common problem. Here...
  • SPMoE

  • Referenced in 2 articles [sw27748]
  • manner by a combination of ideas from subspace projection method and the negative correlation learning ... experts, we develop a new cluster-based subspace projection method to obtain projected subspaces focused...
  • HDclassif

  • Referenced in 15 articles [sw11114]
  • Classification and Clustering. Discriminant analysis and data clustering methods for high dimensional data, based ... that high-dimensional data live in different subspaces with low dimensionality proposing a new parametrization...
  • MSAFC

  • Referenced in 1 article [sw13647]
  • MSAFC: matrix subspace analysis with fuzzy clustering ability. In this paper, based on the maximum ... margin criterion (MMC) together with the fuzzy clustering and the tensor theory, a novel matrix ... upon which a matrix subspace analysis method with fuzzy clustering ability (MSAFC) is derived. Besides...
  • pyCTQW

  • Referenced in 3 articles [sw16801]
  • distributed memory cluster. In particular, the Chebyshev and Krylov-subspace methods for calculating the quantum...
  • CLEMM

  • Referenced in 1 article [sw31323]
  • mixture models called CLEMM (in short for Clustering with Envelope Mixture Models) that is based ... very recent formulation of envelope discriminant subspace for classification and discriminant analysis. Motivated ... discriminant subspace pursuit in classification, we consider parsimonious probabilistic mixture models where the cluster analysis ... data onto a latent lower-dimensional subspace. The proposed CLEMM framework and the associated envelope...
  • ClusterES

  • Referenced in 4 articles [sw18311]
  • efficient calculation of the electronic structure of clusters (and molecules) with high accuracy and systematic ... block eigensolvers and Chebyshev polynomial filter accelerated subspace iterations. Several algorithmic and computational aspects ... into an efficient and reliable package called ClusterES (Cluster Electronic Structure). A variety of benchmark...
  • mu-diff

  • Referenced in 6 articles [sw19503]
  • toolbox for solving multiple scattering problems by clusters of circular cylinders. Any distribution ... direct gaussian elimination method or preconditioned Krylov subspace iterative techniques). Pre- and post-processing facilities...
  • RESCU

  • Referenced in 2 articles [sw18285]
  • exploit the fact that only a subspace spanning the occupied Kohn-Sham states is required ... modest computer cluster...
  • ANSYS

  • Referenced in 648 articles [sw00044]
  • ANSYS offers a comprehensive software suite that spans...
  • ARfit

  • Referenced in 34 articles [sw00046]
  • ARfit is a collection of Matlab modules for...
  • ARMS

  • Referenced in 63 articles [sw00048]
  • ARMS: an algebraic recursive multilevel solver for general...
  • ATLAS

  • Referenced in 195 articles [sw00056]
  • This paper describes the Automatically Tuned Linear Algebra...