
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 pairscore 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 twolevel 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 multicore 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 samplecluster cooccurrence statistics...

Hmtoolbox
 Referenced in 4 articles
[sw32776]
 HODLR and HSS matrices. Matrices with hierarchical lowrank 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 lowrank matrices and offers...

ClustGeo
 Referenced in 4 articles
[sw20893]
 this paper, we propose a Wardlike 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 featurebased matrix factorization. The featurebased setting allows ... such as temporal dynamics, neighborhood relationship, and hierarchical information. The toolkit is capable of both...

CUTLASS
 Referenced in 1 article
[sw35950]
 matrixmultiplication (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 kmeans 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 matrixmatrix 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 nonparametric 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. Matrixmatrix multiplication is a fundamental operation of great ... attained on modern CPUs with hierarchical memories (multiple caches). It does so by building...