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Data Mining Algorithms In R
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Dimensionality Reduction
- Principal Component Analysis
- Singular Value Decomposition
- Feature Selection Category:Book:Data Mining Algorithms In R#Print%20version%20
Frequent Pattern Mining
Contents
- The Eclat Algorithm
- arulesNBMiner
- The Apriori Algorithm
- The FP-Growth Algorithm Category:Book:Data Mining Algorithms In R#Print%20version%20
Sequence Mining
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 Category:Book:Data Mining Algorithms In R#Print%20version%20
Classification
- SVM
- penalizedSVM
- kNN
- Outliers
- Decision Trees
- Naïve Bayes
- adaboost
- JRip Category:Book:Data Mining Algorithms In R#Print%20version%20
R Packages
In this section, we will discuss about R packages that are related to datamining.
Contents
- RWeka
- gausspred
- optimsimplex
- CCMtools
- FactoMineR
- nnet Category:Book:Data Mining Algorithms In R#Print%20version%20