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Results tagged with hierarchical-clustering
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user 114489
Hierarchical cluster analysis is a method of cluster analysis which builds, by steps, a hierarchy of clusters, a dendrogram. Most popular is agglomerative hierarchical clustering (HAC) which starts from individual objects and collects them into bigger and bigger clusters.
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seek help on clustering analysis
I have about 79,000 game players' data and we are trying to cluster these players into different classes. But so far we did not get a consistent cluster solution (we used K-means clustering). I plotte …
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cluster analysis after factor analysis: do I need to use all factors for cluster analysis?
I have a 127-question survey with 6-level likert type answers. With EFA I have kept 56 items and got 8 factors. With CFA (on sample not used in EFA) I confirmed these factors. so far all good.
When I …
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How to determine which variables to be used for cluster analysis
I have about 10 variables (features) and want to do cluster analysis of cases (data points). I have a number of ideas about which variables to be included for cluster analysis:
Plot the variables …
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good practice for cluster analysis [closed]
I want to find out what are the best practice in conducting a reliable cluster analysis:
Outliers: Is it necessary or not to remove the outliers in the variables to be used for cluster analysis?
Mi …
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