Machine learning notes on Clustering

Clustering:

  ☐ The method of identifying similar groups(patterns) of data in a dataSet is called clustering.

  ☐ clustering can be divided into two subgroups :

      ☐ Hard Clustering

      ☐ Soft Clustering

    Types of clustering algorithms:

    Connectivity models:

    Centroid models:

      K-Means clustering algorithm

    Distribution models:

      example:- Normal, Gaussian

    Density Models:

    K-Means clustering algorithm:

 

   

Hierarchical Clustering:

Applications:-

·        Recommendation engines

·        Market segmentation

·        Social network analysis

·        Search result grouping

·        Medical imaging

·        Image segmentation