Statistical Analysis Stack Exchange
Statistical Analysis Stack Exchange

Questions tagged [clara]

clara refers to Clustering LARge Applications, a partitioning method to deal with large datasets.

clara refers to Clustering LARge Applications, a partitioning method to deal with large datasets. The method is described in Chapter 3 of Kaufman and Rousseeuw (1990).

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Interpret clustering plotted in the first two principal components

I got this plot when I plotted a clustering object in R. If I run km <- clara(data, 2), then plot(km), I get a similar plot. How do we interpret this plot with respect to the clustering? How useful would a similar plot be if I have more than five…
darkage
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Interpreting silhouette coefficeint for clara function in R

I am trying to do clustering on a distance matrix which contains numeric data. But I am not sure how to decide upon the number of clusters or value k for clara function in R. But after running it with some random number of clusters, I ran silhouette…
user2542275
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Clustering based on large Jensen-Shannon Divergence distance matrix

I have a dataset with large number of features and about 15 000 observations. I’m using a probability distribution distance metric related to Jensen-Shannon divergence (JSD) to cluster the observations calculated as described in…
Andres Kull
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Daily versus monthly averaged values for better cluster analysis

I am using CLARA method to run a cluster analysis of sea surface temperature in the Mediterranean. Temperature daily values are on a regular grid (0.25 degrees grid mesh). Data are stored in monthly files with 30 to 33 columns depending on the…
pacomet
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Clusplot and variability

I'm testing the clara algorithm with a dataset, but as we can see in the figure: I got the message "These two components explain 1.06% of the point variability" What can I conclude about this? The image splits with a good accuraccy a b 1…
JMR
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