K Means Cluster Analysis in SPSS

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  • Опубликовано: 11 сен 2024

Комментарии • 9

  • @nabilakhademi7619
    @nabilakhademi7619 4 года назад +1

    Hello, thank you so much! I understood more in 10 min of your video than my 6h class with my teacher! Cheers, from Canada!

  • @chefberrypassionateresearcher
    @chefberrypassionateresearcher 5 месяцев назад

    Professor, Can i do Hierarchial cluster analysis, using 4 individual Likert items (each measured on a 5 point scale). These 4 items assess attitude of respondent, and they constitute a single latent variable, in my study.

  • @thayanilojan4954
    @thayanilojan4954 3 года назад +1

    superb.

  • @bharathiretna4903
    @bharathiretna4903 6 лет назад +1

    very useful sir

  • @sureshpatel3992
    @sureshpatel3992 6 лет назад

    Hi Vamsidhar, thanks for the video. Have a query though - Lets say for 60% of the rows (cases), the number of cluster solutions (1,2,3) are explaining the data quite well, however for remaining 40% of the rows, the cluster solution doesn't make lot of sense, so can we run trial 2 by considering only 40% of the rows with different number of cluster solutions (3 or higher) ?

  • @ameliahidayah1061
    @ameliahidayah1061 5 лет назад

    Hi Vamsidhar, after I run K-means, all data belongs to one specific cluster, why it can be like that? I assume it should be spread into defined number of cluster, in my case I set 3 clusters

  • @98DYR
    @98DYR 3 года назад

    Thanks very much!

  • @sarairaniha8784
    @sarairaniha8784 2 года назад +1

    hi . where can i get this data set?

  • @edonuzi
    @edonuzi 4 года назад

    Thanks for the video! please, how do I combine k-means with mlp in an ensemble form using ibm spss?