• MAPCLUS

  • Referenced in 31 articles [sw20021]
  • forADditiveCLUStering) model. MAPCLUS utilizes an alternating least squares method combined with a mathematical programming optimization...
  • Indclus

  • Referenced in 23 articles [sw20757]
  • INDCLUS generalization utilizes an alternating least squares method combined with a mathematical programming optimization procedure...
  • softImpute

  • Referenced in 83 articles [sw12263]
  • Completion via Iterative Soft-Thresholded SVD. Iterative methods for matrix completion that use nuclear-norm ... missing values. The second approach uses alternating least squares. Both have an ”EM” flavor...
  • flare

  • Referenced in 21 articles [sw12406]
  • sparse linear model. We adopt the alternating direction method of multipliers and convert the original ... problem into a sequential L1 penalized least square minimization problem, which can be efficiently solved...
  • BTTSoftImpute

  • Referenced in 1 article [sw34805]
  • Given sparsely observed data points, the proposed method iteratively computes the singular value decomposition ... data estimation based on an alternating least squares method for BTT decomposition. Experimental results...
  • NeNMF

  • Referenced in 34 articles [sw17586]
  • projected nonnegative least squares (PNLS), and the active set method (AS). However, they suffer from ... applies Nesterov’s optimal gradient method to alternatively optimize one factor with another fixed...
  • RobRSVD

  • Referenced in 1 article [sw39426]
  • robust SVD methods use alternating iteratively reweighted least squares methods. The regularized SVD uses generalized...
  • CORALS

  • Referenced in 1 article [sw34405]
  • Generalized co-clustering analysis via regularized alternating least squares. Biclustering is an important exploratory analysis ... between rows and columns. However, most existing methods rely on Gaussian assumptions and only apply ... clustering method via Regularized Alternating Least Squares (CORALS) is proposed, which generalizes biclustering ... CANDECOMP/PARAFAC tensor decomposition. A regularized alternating (iteratively reweighted) least squares algorithm is devised for model...
  • xtqls

  • Referenced in 1 article [sw37507]
  • squares in Stata. Quasi–least squares (QLS) is an alternative method for estimating the correlation...
  • CCLasso

  • Referenced in 2 articles [sw34287]
  • then propose a novel method called CCLasso based on least squares with ℓ1 penalty ... metagenomic data. An effective alternating direction algorithm from augmented Lagrangian method is used to solve...
  • L2WPMA

  • Referenced in 9 articles [sw04326]
  • Fortran 77 package for weighted least-squares piecewise monotonic data approximation. Fortran software is developed ... errors. The underlying method minimizes the weighted sum of the squares of the errors ... consists of k monotonic sections, alternately increasing and decreasing. This calculation can have about...
  • semPLS

  • Referenced in 5 articles [sw10490]
  • disciplines. The partial least squares (PLS) approach to SEM offers an alternative to covariance-based ... used. Furthermore it contains modular methods for computation of bootstrap confidence intervals, model parameters...
  • ADMM-Softmax

  • Referenced in 4 articles [sw32744]
  • alternating direction method of multipliers (ADMM) for solving multinomial logistic regression (MLR) problems. Our method ... ADMM-Softmax consists of a linear least-squares problem, a set of independent small-scale...
  • DAMisc

  • Referenced in 1 article [sw42830]
  • Social Research (ICPSR) Summer Program in Quantitative Methods. Broadly, the functions help with presentation ... also implement some new tools like Alternating Least Squares Optimal Scaling for dependent variables...
  • Implicit

  • Referenced in 1 article [sw37578]
  • recommendation algorithms for implicit feedback datasets: Alternating Least Squares as described in the papers Collaborative ... Datasets and Applications of the Conjugate Gradient Method for Implicit Feedback Collaborative Filtering. Bayesian Personalized...
  • mixlow

  • Referenced in 1 article [sw25280]
  • MixLow method as an alternative to the Median-Effect method of Chou and Talalay ... interaction indices. One advantage of the MixLow method is that the nonlinear mixed-effects model ... estimates than the log linearization and least-squares analysis used in the Median-Effect method...
  • miivfind

  • Referenced in 2 articles [sw14635]
  • developed by Bollen and Bauer (2004, Sociological Methods and Research 32: 425–452) to find ... variable estimators, such as two-stage least-squares estimators, to obtain estimates for the parameters ... MIIVs, miivfind facilitates the use of an alternative class of estimators, instrumental-variable estimators...
  • KLERC

  • Referenced in 1 article [sw37381]
  • generalization to the ordinary least square regression, expectile regression, which can predict conditional expectiles ... fitted by minimizing an asymmetric square loss function on the training data. In literature ... unique minimum point. The proposed method was compared to alternative algorithms on simulated data...
  • RobustDMD

  • Referenced in 1 article [sw41056]
  • Robust and scalable methods for the dynamic mode decomposition. The dynamic mode decomposition ... classically formulated as a nonlinear least squares problem and solved within the variable projection framework ... robust principal component analysis (PCA). As an alternative, we propose a robust statistical framework ... range of synthetic examples, and the methods are implemented in an open source software package...
  • AMD

  • Referenced in 61 articles [sw00039]
  • Algorithm 837: AMD is a set of routines...