Contains functions to simplify the use of data mining methods (classification, regression, clustering, etc.), for students and beginners in R programming. Various R packages are used and wrappers are built around the main functions, to standardize the use of data mining methods (input/output): it brings a certain loss of flexibility, but also a gain of simplicity. The package name came from the French "Fouille de Données en Master 2 Informatique Décisionnelle".
Version: 0.9.9 Depends: R (≥ 3.5.0), arules, arulesViz, FactoMineR Imports: mclust, methods, nnet, pls Suggests: car, caret, class, cluster, datasets, e1071, fds, flexclust, fpc, glmnet, graphics, grDevices, ibr, irr, kohonen, leaps, MASS, mda, meanShiftR, questionr, randomForest, ROCR, rpart, rpart.plot, Rtsne, SnowballC, stats, text2vec, stopwords, utils, wordcloud, xgboost Enhances: NMF Published: 2023-06-12 DOI: 10.32614/CRAN.package.fdm2id Author: Alexandre Blansché [aut, cre] Maintainer: Alexandre Blansché <alexandre.blansche at univ-lorraine.fr> License: GPL-3 NeedsCompilation: no CRAN checks: fdm2id resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4