Wikibooks:Featured books/Nominations/Addition/Data Mining Algorithms In R

Data Mining Algorithms In R
Really nice and crisp book. It has the following chapters

Dimensionality Reduction- Principal Component Analysis,Singular Value Decomposition,Feature Selection

Frequent Pattern Mining- The Eclat Algorithm,arulesNBMiner,The Apriori Algorithm,The FP-Growth Algorithm

Sequence Mining- SPADE,DEGSeq

Clustering- K-Means, Hybrid Hierarchical Clustering, Expectation Maximization (EM),Dissimilarity Matrix Calculation,Hierarchical Clustering,Bayesian Hierarchical Clustering,Density-Based Clustering, K-Cores, Fuzzy Clustering - Fuzzy C-means,RockCluster,Biclust, Partitioning Around Medoids (PAM),CLUES,Self-Organizing Maps (SOM), Proximus,CLARA

Classification- SVM,penalizedSVM,kNN, Outliers,Decision Trees,Naïve Bayes,adaboost,JRip

R Packages- RWeka,gausspred,optimsimplex,CCMtools,FactoMineR,nnet
 * A print version would be easier if the table of content wasn't split into six. JackPotte (discuss • contribs) 11:42, 31 July 2016 (UTC)