Showing 5 of total 5 results (show query)
zdebruine
RcppML:Rcpp Machine Learning Library
Fast machine learning algorithms including matrix factorization and divisive clustering for large sparse and dense matrices.
Maintained by Zach DeBruine. Last updated 2 years ago.
clusteringmatrix-factorizationnmfrcpprcppeigensparse-matrixcppopenmp
107 stars 10.66 score 125 scripts 50 dependents
david-cortes
MatrixExtra:Extra Methods for Sparse Matrices
Extends sparse matrix and vector classes from the 'Matrix' package by providing: (a) Methods and operators that work natively on CSR formats (compressed sparse row, a.k.a. 'RsparseMatrix') such as slicing/sub-setting, assignment, rbind(), mathematical operators for CSR and COO such as addition ("+") or sqrt(), and methods such as diag(); (b) Multi-threaded matrix multiplication and cross-product for many <sparse, dense> types, including the 'float32' type from 'float'; (c) Coercion methods between pairs of classes which are not present in 'Matrix', such as 'dgCMatrix' -> 'ngRMatrix', as well as convenience conversion functions; (d) Utility functions for sparse matrices such as sorting the indices or removing zero-valued entries; (e) Fast transposes that work by outputting in the opposite storage format; (f) Faster replacements for many 'Matrix' methods for all sparse types, such as slicing and elementwise multiplication. (g) Convenience functions for sparse objects, such as 'mapSparse' or a shorter 'show' method.
Maintained by David Cortes. Last updated 9 months ago.
csrsparse-matrixopenblascppopenmp
20 stars 9.08 score 84 scripts 29 dependents
spatstat
spatstat.sparse:Sparse Three-Dimensional Arrays and Linear Algebra Utilities
Defines sparse three-dimensional arrays and supports standard operations on them. The package also includes utility functions for matrix calculations that are common in statistics, such as quadratic forms.
Maintained by Adrian Baddeley. Last updated 9 months ago.
arrayssparse-matrixsparse-representations
2 stars 8.72 score 7 scripts 150 dependents
mi2-warsaw
FSelectorRcpp:'Rcpp' Implementation of 'FSelector' Entropy-Based Feature Selection Algorithms with a Sparse Matrix Support
'Rcpp' (free of 'Java'/'Weka') implementation of 'FSelector' entropy-based feature selection algorithms based on an MDL discretization (Fayyad U. M., Irani K. B.: Multi-Interval Discretization of Continuous-Valued Attributes for Classification Learning. In 13'th International Joint Conference on Uncertainly in Artificial Intelligence (IJCAI93), pages 1022-1029, Chambery, France, 1993.) <https://www.ijcai.org/Proceedings/93-2/Papers/022.pdf> with a sparse matrix support.
Maintained by Zygmunt Zawadzki. Last updated 6 months ago.
entropyfeature-selectionrcppsparse-matrixcpp
35 stars 8.22 score 78 scripts 1 dependents
fchen365
epca:Exploratory Principal Component Analysis
Exploratory principal component analysis for large-scale dataset, including sparse principal component analysis and sparse matrix approximation.
Maintained by Fan Chen. Last updated 11 months ago.
community-detectionexploratory-data-analysismatrix-decompositionspcaprincipal-component-analysissparse-matrix
11 stars 4.74 score 8 scripts