• pertsaus2

  • Referenced in 18 articles [sw15442]
  • symmetric matrix of dissimilarities between them, Unidimensional Scaling is the problem of finding a representation ... Explicit implementation details are given for least squares loss functions and for least absolute deviations ... Annealing and other optimization strategies for Unidimensional Scaling in run time efficiency, in solution quality...
  • ADMM-Softmax

  • Referenced in 4 articles [sw32744]
  • linear least-squares problem, a set of independent small-scale smooth, convex problems ... variable update. The solution of the least-squares problem can be accelerated by pre-computing...
  • wavemulcor

  • Referenced in 2 articles [sw12243]
  • calculation, at each wavelet scale, of the square root of the coefficient of determination...
  • haarfisz

  • Referenced in 17 articles [sw11198]
  • Fisz transform. The resulting estimator is mean square consistent, rapidly computable and easy to implement ... device for stabilizing the variance of scaled $chi^2$-data and bringing their distribution close...
  • aspect

  • Referenced in 6 articles [sw25361]
  • optimal scaling. One function performs optimal scaling by maximizing an aspect (i.e. a target function ... eigenvalues, sum of squared correlations, squared multiple correlations, etc.) of the corresponding correlation matrix. Another ... performs implements the LINEALS approach for optimal scaling by minimization of an aspect based...
  • rCOSA

  • Referenced in 1 article [sw18036]
  • functions for hierarchical clustering methods, least squares multidimensional scaling, partitional clustering, and data visualization...
  • PLS-Graph

  • Referenced in 8 articles [sw11498]
  • back into the same drawing. Partial Least Squares (PLS) can be a powerful method ... because of the minimal demands on measurement scales, sample size, and residual distributions. Although...
  • LS-SVMlab

  • Referenced in 26 articles [sw07367]
  • convex optimization problems, typically quadratic programs. Least Squares Support Vector Machines (LS-SVM) are reformulations ... reduction, and survival analysis. For very large scale problems a method of Fixed Size...
  • SEISCOPE

  • Referenced in 6 articles [sw19396]
  • such large-scale minimization problems have to be solved. Traveltime tomography, least-squares migration...
  • Algorithm 978

  • Referenced in 2 articles [sw25567]
  • Algorithm 978: Safe scaling in the level 1 BLAS. The square root ... squares is well known to be prone to overflow and underflow. Ad hoc scaling...
  • PROXSCAL

  • Referenced in 12 articles [sw06540]
  • multidimensional scaling: Using SPSS/PROXSCAL. Multidimensional scaling attempts to find the structure ... possible. The result is a least-squares representation of the objects in that low-dimensional...
  • LibCVM

  • Referenced in 1 article [sw18879]
  • Vector Regression (CVR) for large-scale sparse least-squares regression Pending features: multiclass CVM/BVM probabilistic...
  • PERMON

  • Referenced in 5 articles [sw16719]
  • also arise in other disciplines like least-squares regression, data fitting, data mining, support vector ... machines, control systems and many others. Large scale problems that are not solvable on usual...
  • GSVD

  • Referenced in 1 article [sw35769]
  • Generalized eigen, singular value, and partial least squares decompositions: The GSVD package. The generalized singular ... components, correspondence analysis, multidimensional scaling, canonical correlation, partial least squares). Though the GSVD is ubiquitous...
  • multiway

  • Referenced in 2 articles [sw26197]
  • alternating least squares algorithms with optional constraints. Fit models include Individual Differences Scaling, Multiway Covariates...
  • CHAID

  • Referenced in 1 article [sw30379]
  • Package CHAID: CHi-squared Automated Interaction Detection. This package offers an implementation of CHAID ... scaled dependent variable published in 1980 by Gordon V. Kass. CHAID stands for Chi-squared...
  • DISCO

  • Referenced in 7 articles [sw13152]
  • based divide-and-conquer algorithm for large-scale noisy anchor-free graph realization. We propose ... within an hour with a root mean square deviation...
  • GURLS

  • Referenced in 3 articles [sw10895]
  • supervised learning. We present GURLS, a least squares, modular, easy-to-extend software library ... training strategies for medium and large-scale learning, and routines for efficient model selection ... favorable properties of regularized least squares algorithm to exploit advanced tools in linear algebra. Routines...
  • semPLS

  • Referenced in 5 articles [sw10490]
  • popular in many disciplines. The partial least squares (PLS) approach to SEM offers an alternative ... technique with minimum demands regarding mea- surement scales, sample sizes and residual distributions. The semPLS...
  • DINDSCAL

  • Referenced in 1 article [sw13360]
  • multidimensional scaling (MDS) of three-way data analyzes doubly centered matrices of squared dissimilarities...