This is a wonderful video! thank you. During discussion with a statistician they asked me what the cluster analysis fit was? How do i defend (with numbers or a stat) the number of clusters i chose?
Glad you're finding them useful! You can, but not in a hierarchical analysis. For that, you'll need Two-Step Cluster Analysis (see my video on that here: ruclips.net/video/rh0Hv0SUIZk/видео.html)
Hello Jeff! Thanks for a great video. I'm currently trying to interpret the results of a dendrogram. I'm using a data set provided by my professor, who informed us there should be 7 clusters for our K-means clustering. However, I wanted to check if that would match a dendogram following your instructions, but it doesn't seem to add up. Despite the lack of information do you have an idea about what might cause the difference?
Hi, thanks! It's really hard to know without seeing the data/dendrogram, but a first guess would be the method you're using. I suggest using Ward's Method, but it's possible your professor prefers something else for perfectly good reasons. That would be the first place I would look. Good luck!
How to remove the gray background from the dendrogram? I want to use the dendrogram for my article... Is there a way to export like only the cluster lines?
This is such a helpful video! I am curious as the why you used individual items instead of creating a scale from the items for the cluster analysis? Thanks in advance for your help!
Hi there if I want to cluster 30 station with 7 paramateres and time series for 9 years what can I do ? can you help me . this will bi 3 dimensional matrix
Great job, thanks so much for these videos. I have question tho. Do you have some author/s so I can justify how I pick my clusters? Thanks so much in advance!
Dear Prof., thanks for all the fantastic videos. I would like to perform an cluster analysis with binary data (0 or 1). What algorithm would you recommend for a hierarchical analysis. And you make a video how to perform the silhouette method in SPSS. Thank you very much.
Thank you, your video is very informative, and definitely deserves more views. I was wondering about the clustering of variables together - not on a case-by-case basis, but on a variable-by-variable basis. I assume that, in SPSS, this would give you an indication of the overall clustering of similar variables together, and how similar the data points in one variable are, relative to the others. Is that right? So in your example, it would show groups of similar dimensions of "importance", and their hierarchical linkage to the other dimensions of "importance"?
@@DataDemystified Thank you, I’ve also watched your excellent video on factor analysis; and you’re right, that is very good for looking at the correlations between variables, specifically. But in terms of the actual hierarchical cluster analysis, I was wondering what outcome is generated in SPSS when you are performing a hierarchical cluster analysis and under the cluster options you select cluster>variables, as opposed to cluster>cases. Most people talk about clustering the cases, but I was wondering what the outcome is if you cluster the variables, when performing a hierarchical cluster analysis.
@@jeremysayer8680 Got it! Full disclosure: I've never used the cluster->variables approach in hierarchical cluster analysis. I always use PCA/Factor analysis to group variables. However, looking at it a bit more closely, it appears that hierarchical cluster (variables) applies the same basic approach to grouping variables that it does to grouping values. For instance, the dendorgram shows groupings of variables in a hierarchical manner (sub and superordinate groups). So, it seems like a nice way to eyeball groups of variables...however I have not seen this approach used anywhere in the social science, so I suspect it isn't particularly robust.
@@DataDemystified Thanks, that makes sense. As you allude to, I've also seen quite different clusters of (latent) variables being spotted between the two techniques, but it’s valuable as a support tool. Thanks for all the time you’ve taken to respond!
Dear Researcher, kindly guide, how can i cluster the questionnaire line items of the large data set. like more than1000 observation? I have 79 final line items of questionnaire now i want to cluster the line items into distinct latent variable. kindly guide me how can i cluster the line items. thanks in anticipation.
Hello sir, Thank you very much for your great lesson. I would like to ask, I have a data list for fungal species and their host plants. Can I do a single cluster analyses for both for understanding the relationship between fungi species vs plant species ? Thank you.
Happy to help. I don't have a good answer for you as I don't really know anything about fungi and plants. I would need a much better sense of the data and what you're trying to accomplish. Good luck!
Hello, sir! I am currently working on my thesis and this tutorial helps a lot! May I ask, how can I identify the cluster with high similarities of data by inspecting the dendogram? Is it possible or should I apply some calculations to address this? Thank you so much!
This video is SO clear! As short as possible with everything I need to know. THANKS a lot!
Excellent tutorial. In two first minutes you have answered my questions and solved my problem. My compliments on your didactic skills.
Eyes opening explanations ... thank you.
Really good job of explaining a lot of options. You spoke VERY clearly which is so important in understanding the nuances of these procedures.
Thank u sir, Im from Portugal and your videos helped me to a Data Analysis test. You're such a good teacher!!!
Thank you for the explanation!! Amazing
Thank you this was really helpful.
Glad it was helpful!
great video simplyyyyyy greatttttttttttt
This is a wonderful video! thank you. During discussion with a statistician they asked me what the cluster analysis fit was? How do i defend (with numbers or a stat) the number of clusters i chose?
Nice video! Thanks a lot!
Is thee ward method available in the standard spss package?
What version of spss was used in this video? TY❤
Thank you for the videos! Very helpfull! Can I use binary variable to enter into cluster analysis?
Glad you're finding them useful! You can, but not in a hierarchical analysis. For that, you'll need Two-Step Cluster Analysis (see my video on that here: ruclips.net/video/rh0Hv0SUIZk/видео.html)
For cluster analysis is it necessary to apply only the values taken from Licart scale? 1 to 5 ( strongly agree to strongly disagree)
Hello Jeff! Thanks for a great video. I'm currently trying to interpret the results of a dendrogram. I'm using a data set provided by my professor, who informed us there should be 7 clusters for our K-means clustering. However, I wanted to check if that would match a dendogram following your instructions, but it doesn't seem to add up. Despite the lack of information do you have an idea about what might cause the difference?
Hi, thanks! It's really hard to know without seeing the data/dendrogram, but a first guess would be the method you're using. I suggest using Ward's Method, but it's possible your professor prefers something else for perfectly good reasons. That would be the first place I would look. Good luck!
How to remove the gray background from the dendrogram? I want to use the dendrogram for my article... Is there a way to export like only the cluster lines?
This is such a helpful video! I am curious as the why you used individual items instead of creating a scale from the items for the cluster analysis? Thanks in advance for your help!
Can cluster analysis be applied on secondary data
Hi there if I want to cluster 30 station with 7 paramateres and time series for 9 years what can I do ? can you help me . this will bi 3 dimensional matrix
Great job, thanks so much for these videos. I have question tho. Do you have some author/s so I can justify how I pick my clusters? Thanks so much in advance!
Dear Prof., thanks for all the fantastic videos. I would like to perform an cluster analysis with binary data (0 or 1). What algorithm would you recommend for a hierarchical analysis. And you make a video how to perform the silhouette method in SPSS. Thank you very much.
Two step is the way to go.
@@DataDemystified Could you explain it a little bit more or share a link etc.
should we include the dependent variable in the analysis?
Hello sir. I watched the video. I still do not understand how did you deduce that we have 2 clusters from the dendrogram.
Thank you, your video is very informative, and definitely deserves more views. I was wondering about the clustering of variables together - not on a case-by-case basis, but on a variable-by-variable basis. I assume that, in SPSS, this would give you an indication of the overall clustering of similar variables together, and how similar the data points in one variable are, relative to the others. Is that right? So in your example, it would show groups of similar dimensions of "importance", and their hierarchical linkage to the other dimensions of "importance"?
I think you're describing a factor analysis. See my video on that here: ruclips.net/video/8uVEEGeg45s/видео.html
@@DataDemystified Thank you, I’ve also watched your excellent video on factor analysis; and you’re right, that is very good for looking at the correlations between variables, specifically. But in terms of the actual hierarchical cluster analysis, I was wondering what outcome is generated in SPSS when you are performing a hierarchical cluster analysis and under the cluster options you select cluster>variables, as opposed to cluster>cases. Most people talk about clustering the cases, but I was wondering what the outcome is if you cluster the variables, when performing a hierarchical cluster analysis.
@@jeremysayer8680 Got it! Full disclosure: I've never used the cluster->variables approach in hierarchical cluster analysis. I always use PCA/Factor analysis to group variables. However, looking at it a bit more closely, it appears that hierarchical cluster (variables) applies the same basic approach to grouping variables that it does to grouping values. For instance, the dendorgram shows groupings of variables in a hierarchical manner (sub and superordinate groups). So, it seems like a nice way to eyeball groups of variables...however I have not seen this approach used anywhere in the social science, so I suspect it isn't particularly robust.
@@DataDemystified Thanks, that makes sense. As you allude to, I've also seen quite different clusters of (latent) variables being spotted between the two techniques, but it’s valuable as a support tool. Thanks for all the time you’ve taken to respond!
Dear Researcher, kindly guide, how can i cluster the questionnaire line items of the large data set. like more than1000 observation?
I have 79 final line items of questionnaire now i want to cluster the line items into distinct latent variable. kindly guide me how can i cluster the line items. thanks in anticipation.
thank you Sir
Hello sir, Thank you very much for your great lesson. I would like to ask, I have a data list for fungal species and their host plants. Can I do a single cluster analyses for both for understanding the relationship between fungi species vs plant species ?
Thank you.
Happy to help. I don't have a good answer for you as I don't really know anything about fungi and plants. I would need a much better sense of the data and what you're trying to accomplish. Good luck!
Hello, sir! I am currently working on my thesis and this tutorial helps a lot! May I ask, how can I identify the cluster with high similarities of data by inspecting the dendogram? Is it possible or should I apply some calculations to address this? Thank you so much!
Hello sir, can you do the same using K-means?
Thank you so much
tysm!!!
could you do the data i give you
Not sure what you mean
thx