Algorithms

An algorithm is a descendant of a pipe but contrary to it its input an output types have upper bounds, this last is closely the same for the input A and the output B, they both are bounded by the Model type with the particularity than both have often distinct Model type.

Unsupervised learning algorithms

Clustering

Hard Clustering

Soft Clustering

Dimensions reduction algorithms

Outliers detection

(algorithms_set)=

Set of available algorithms

• Clustering
• Hard Clustering
  • $k$-Means
  • $k$-Modes
  • $k$-Prototypes
• Soft Clustering
  • Gaussian Mixture Model
• Dimensions reduction
  • PCA
• Outliers detections
  • CBLOF
• Quality indices
• Internal
  • Ball Hall
  • Davies Bouldin
  • Silhouette
• External
  • MI
    • NMI_Sqrt
    • NMI_Max
    • Purity
    • Accuracy
    • Precision
    • Recall
    • F1
    • MCC
    • CzekanowskiDice
    • RAND
    • RogersTanimoto
    • FolkesMallows
    • Jaccard
    • Kulcztnski
    • McNemar
    • RusselRao
    • SokalSneath1
    • SokalSneath2
• Vectorization
  • Categorical binarization
  • Image
  • Text
  • Audio
  • Video
  • Monovariate time series
  • Multivariate time series