
R
 Referenced in 3256 articles
[sw00771]
 classical statistical tests, timeseries analysis, classification, clustering, ...) and graphical techniques, and is highly extensible...

INTLAB
 Referenced in 279 articles
[sw04004]
 univariate and multivariate nonlinear equations (simple and clusters) eigenvalue problems (simple and clusters, also inner ... structured matrices) generalized eigenvalue problems (simple and clusters) quadrature for univariate functions univariate polynomial zeros ... simple and clusters) interval arithmetic for real and complex data including vectors and matrices (very...

SIFT
 Referenced in 440 articles
[sw16554]
 followed by a Hough transform to identify clusters belonging to a single object, and finally...

ScaLAPACK
 Referenced in 330 articles
[sw00830]
 Intel series, TM CM5, clusters of workstations, and any system for which...

NAG
 Referenced in 285 articles
[sw00610]
 single PC or a cluster of the world’s largest supercomputers, the NAG Library...

PRISM
 Referenced in 260 articles
[sw01186]
 randomized distributed algorithms, manufacturing systems and workstation clusters...

mclust
 Referenced in 129 articles
[sw00563]
 mclust: Normal Mixture Modeling for ModelBased Clustering, Classification, and Density Estimation , Normal Mixture Modeling ... fitted via EM algorithm for ModelBased Clustering, Classification, and Density Estimation, including Bayesian regularization...

Neural Network Toolbox
 Referenced in 129 articles
[sw07378]
 applications such as data fitting, pattern recognition, clustering, timeseries prediction, and dynamic system modeling ... data across multicore processors, GPUs, and computer clusters using Parallel Computing Toolbox...

AS 136
 Referenced in 177 articles
[sw14176]
 Algorithm AS 136: A KMeans Clustering Algorithm...

cran
 Referenced in 164 articles
[sw04351]
 modelling, statistical tests, time series analysis, classification, clustering, etc. Please consult the R project homepage...

PARDISO
 Referenced in 141 articles
[sw00679]
 with complete pivoting. Parallel on SMPs and Cluster of SMPs. Automatic combination of iterative...

ALBERTA
 Referenced in 133 articles
[sw01061]
 distributed memory parallel computers including PC clusters...

DistAl
 Referenced in 88 articles
[sw01746]
 Each neuron is designed to determine a cluster of training patterns belonging to the same ... strategy to train individual neurons. The individual clusters (represented by the hidden neurons) are combined...

ve08
 Referenced in 122 articles
[sw05141]
 Hessian G(x) of f(x) has clustered eigenvalues at a minimizer x *, in which...

NEURON
 Referenced in 121 articles
[sw03059]
 spike patterns exhibits superlinear speedup on Beowulf clusters and demonstrates that spike communication overhead...

SAS/STAT
 Referenced in 118 articles
[sw18788]
 analysis, multivariate analysis, survival analysis, psychometric analysis, cluster analysis, and nonparametric analysis. A few examples...

NTRU
 Referenced in 110 articles
[sw11761]
 suggested by polynomial algebra combined with a clustering principle based on elementary probability theory...

apcluster
 Referenced in 57 articles
[sw11001]
 apcluster: Affinity Propagation Clustering. The apcluster package implements Frey’s and Dueck’s Affinity Propagation ... clustering in R. The algorithms are largely analogous to the Matlab code published by Frey ... algorithm for exemplarbased agglomerative clustering that can also be used to join clusters obtained ... Various plotting functions are available for analyzing clustering results...

APCluster
 Referenced in 57 articles
[sw11002]
 Affinity propagation (AP) is a clustering algorithm that has been introduced by Brendan J. Frey ... identifies exemplars among data points and forms clusters of data points around these exemplars ... until a good set of exemplars and clusters emerges.” AP has been applied in various ... implements leveraged affinity propagation, exemplarbased agglomerative clustering, and various tools for visual analysis...

JMEANS
 Referenced in 55 articles
[sw02649]
 search heuristic for minimum sum of squares clustering. A new local search heuristic, called ... solving the minimum sum of squares clustering problem. The neighborhood of the current solution ... methods, quite substantially when many entities and clusters are considered...