K-Medoids Clustering | Unsupervised Machine Learning algorithm

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  • Опубліковано 30 жов 2024

КОМЕНТАРІ • 6

  • @dineshruka1197
    @dineshruka1197 3 роки тому

    Nice explanation mam but how the average dissimilarity is calculated I tried to calculate them but I am not getting the incorrect values.

  • @aishahassan6925
    @aishahassan6925 3 роки тому

    In the start ,it should be reduce the intracluster dissimilarity and increase the intercluster dissimilarity at 0.29 sec of the video .Kindly check because i am amazingly confuse between intracluster(with in the group) and intercluster (between the groups).kindly answer me

    • @SuganyaKarunamurthy
      @SuganyaKarunamurthy  3 роки тому

      Similar data points should be grouped within a cluster (Intra cluster) and hence Intracluster similarity should be increased which in other words dissimilarity should be reduced.
      Different data points should be grouped in different clusters (Inter cluster) and hence Intercluster similarity should be decreased which in other words dissimilarity should be increased.

    • @aishahassan6925
      @aishahassan6925 3 роки тому +1

      @@SuganyaKarunamurthy thanks alot for fastest and precise reply ,I really appreciate it mam

  • @SivaKumar-rv1nn
    @SivaKumar-rv1nn 3 роки тому

    Thankyou maam