DBSCAN Clustering Algorithm in Machine Learning

 By KDnuggets - 2021-03-12

Description

An introduction to the DBSCAN algorithm and its Implementation in Python.

Summary

  • In 2014, the DBSCAN algorithm was awarded the test of time award (an award given to algorithms which have received substantial attention in theory and practice) at the leading data mining conference, ACM SIGKDD.
  • — Centrally, all clustering methods use the same approach i.e.
  • first we calculate similarities and then we use it to cluster the data points into groups or batches.
  • Every parameter influences the algorithm in specific ways.
  • As a rule of thumb,minPts = 2·dim can be used, but it may be necessary to choose larger values for very large data, for noisy data or for data that contains many duplicates.

 

Topics

  1. Backend (0.32)
  2. Database (0.16)
  3. Machine_Learning (0.15)

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