Clustering Techniques

Predictive Analytics    |    Intermediate
  • 10 videos | 35m 24s
  • Includes Assessment
  • Earns a Badge
The key to meaningful analysis is the ability to choose the right methods that provide the greatest predictive power. Discover how data clustering, such as K-Means, hierarchical, and DBSCAN, is used to combine similar subsets of data.

WHAT YOU WILL LEARN

  • Recognize characteristics of clustering
    Identify the different types of clustering
    Calculate proximity
    List key features of k-means clustering
    Recognize key steps for reducing the sum of squared errors in k-means clustering
  • Recognize key steps for the termination of k-means clustering iterations
    Evaluate k-means clustering
    List key features of hierarchical clustering and dbscan
    Recognize key steps in dbscan
    Perform dbscan

IN THIS COURSE

  • 4m 1s
    Upon completion of this video, you will be able to recognize characteristics of clusters. FREE ACCESS
  • 4m 18s
    In this video, you will learn about the different types of clustering. FREE ACCESS
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    3.  Proximity Measures for Clustering
    4m
    In this video, you will calculate proximity. FREE ACCESS
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    4.  Overview of K-Means Clustering
    2m 52s
    Upon completion of this video, you will be able to list key features of K-Means Clustering. FREE ACCESS
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    5.  Minimizing SSE of Data Points
    4m 42s
    Upon completion of this video, you will be able to recognize key steps for reducing the sum of squared errors in K-Means Clustering. FREE ACCESS
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    6.  K-Means Clustering Termination Procedures
    1m 59s
    After completing this video, you will be able to recognize key steps for terminating K-Means Clustering iterations. FREE ACCESS
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    7.  Evaluation and Considerations for K-Means Clustering
    3m 55s
    During this video, you will learn how to evaluate K-Means Clustering. FREE ACCESS
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    8.  Hierarchical Clustering and DBSCAN Overview
    4m 18s
    After completing this video, you will be able to list key features of Hierarchical Clustering and DBSCAN. FREE ACCESS
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    9.  DBSCAN Operation
    2m 16s
    After completing this video, you will be able to recognize key steps in the DBSCAN algorithm. FREE ACCESS
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    10.  DBSCAN Attributes
    3m 4s
    In this video, you will learn how to perform DBSCAN. FREE ACCESS

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