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Is there any way to run any clustering model on a small dataset with 290 text records (minimum character size is 100)?

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    $\begingroup$ Yes, but the accuracy or correctness of clustering will depend on how you conduct the feature extraction. And probably lower the feature space, better will it be for the clustering algorithm. $\endgroup$ Nov 26 '21 at 4:39
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Certainly. I demonstrated clustering techniques using 52 records (playing cards and their features). Unlike classification algorithms, clustering will work with the data available.

The question to ask yourself is whether your data has a sufficient number of features that are enable records to be both clusterable and separable.

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  • $\begingroup$ Thanks, Anandologist. What clustering method did you use? $\endgroup$
    – SaNa
    Nov 28 '21 at 23:01
  • $\begingroup$ In the case of the playing cards, I was demonstrating how different clustering algorithms would perform. I did that using k-means, agglomerative, and DBSCAN. $\endgroup$ Nov 29 '21 at 13:14

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