• LargeExpressions

  • Referenced in 1 article [sw09217]
  • that factors a matrix and expresses the results using a hierarchical representation. As part...
  • HASP

  • Referenced in 2 articles [sw23782]
  • hierarchical algorithm for making sparse matrices sparser. If A is the (sparse) coefficient matrix ... pass approach to solve SP called the Hierarchical Algorithm. In this paper we report...
  • OXBench

  • Referenced in 5 articles [sw22988]
  • algorithms may be judged. RESULTS: The simple hierarchical multiple alignment algorithm, AMPS, performed as well ... CLUSTALW once the PAM250 pair-score matrix was replaced by a BLOSUM series matrix. AMPS...
  • OMA

  • Referenced in 2 articles [sw34207]
  • Matrix (OMA) algorithm 2.0: more robust to asymmetric evolutionary rates and more scalable hierarchical orthologous...
  • BootCMatch

  • Referenced in 6 articles [sw27182]
  • adjacency graph of the system matrix. More specifically, a maximum product matching is employed ... every level of the recursive two-level hierarchical AMG process. Results on a large variety...
  • SuperMatrix

  • Referenced in 6 articles [sw20213]
  • describes SuperMatrix, a runtime system that parallelizes matrix operations for SMP and/or multi-core architectures ... programmer. The key insight entails viewing matrices hierarchically, consisting of blocks that serve as units...
  • LCE

  • Referenced in 5 articles [sw25277]
  • Although many researchers still prefer to use hierarchical clustering in one form or another, this ... many existing ensemble techniques use an association matrix to summarize sample-cluster co-occurrence statistics...
  • Hm-toolbox

  • Referenced in 4 articles [sw32776]
  • HODLR and HSS matrices. Matrices with hierarchical low-rank structure, including HODLR and HSS matrices ... fact much wider and includes, for example, matrix functions and eigenvalue problems. In this work ... Nevertheless, it maintains the favorable complexity of hierarchical low-rank matrices and offers...
  • ClustGeo

  • Referenced in 4 articles [sw20893]
  • this paper, we propose a Ward-like hierarchical clustering algorithm including spatial/geographical constraints. Two dissimilarity ... observations can be non uniform. The first matrix gives the dissimilarities in the ”feature space...
  • SVDFeature

  • Referenced in 2 articles [sw08497]
  • designed to efficiently solve the feature-based matrix factorization. The feature-based setting allows ... such as temporal dynamics, neighborhood relationship, and hierarchical information. The toolkit is capable of both...
  • CUTLASS

  • Referenced in 1 article [sw35950]
  • matrix-multiplication (GEMM) at all levels and scales within CUDA. It incorporates strategies for hierarchical...
  • dclust

  • Referenced in 1 article [sw35317]
  • Contains a single function dclust() for divisive hierarchical clustering based on recursive k-means partitioning ... computation of a n x n distance matrix is not feasible...
  • VARCLUS

  • Referenced in 2 articles [sw14475]
  • numeric variables into disjoint or hierarchical clusters. Associated with each cluster is a linear combination ... analyze either the correlation or the covariance matrix; creates an output data set that ... procedure to draw a tree diagram of hierarchical clusters; enables you to base the clustering...
  • HiCMA

  • Referenced in 1 article [sw30064]
  • HiCMA: Hierarchical Computations on Manycore Architectures. The Hierarchical Computations on Manycore Architectures (HiCMA) library aims ... exploit the data sparsity of the matrix operator. Data sparse matrices arise in many scientific...
  • GPLOM

  • Referenced in 1 article [sw35569]
  • GPLOM: The Generalized Plot Matrix for Visualizing Multidimensional Multivariate Data. Scatterplot matrices (SPLOMs), parallel coordinates ... dimensions). To visualize multiple categorical variables, ’hierarchical axes’ that ’stack dimensions’ have been used ... variables. Emerson et al. [8] extend the matrix paradigm of the SPLOM to simultaneously visualize...
  • PHDC

  • Referenced in 1 article [sw18388]
  • tridiagonal matrices based on ScaLAPACK and the hierarchically semiseparable (HSS) matrices. HSS is an important ... cost by computing the eigenvectors via the matrix-matrix multiplications (MMM). In our parallel hybrid...
  • rCOSA

  • Referenced in 1 article [sw18036]
  • main output of COSA is a dissimilarity matrix that one can subsequently analyze with ... Meulman, 2004) by adding functions for hierarchical clustering methods, least squares multidimensional scaling, partitional clustering...
  • spBFA

  • Referenced in 1 article [sw31476]
  • columns of the factor loadings matrix using a Bayesian non-parametric prior, the probit stick ... introduced for the latent factors through a hierarchical structure and can be specified as exponential...
  • TAMRESH

  • Referenced in 1 article [sw22104]
  • multiresolution volume rendering by introducing a novel hierarchical tensor approximation (TA) volume visualization approach ... special properties of the TA factor matrix bases and define a novel multiscale and multiresolution...
  • BLISlab

  • Referenced in 1 article [sw16637]
  • BLISlab: A Sandbox for Optimizing GEMM. Matrix-matrix multiplication is a fundamental operation of great ... attained on modern CPUs with hierarchical memories (multiple caches). It does so by building...