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Results tagged with k-means
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user 143964
k-means is a family of cluster analysis methods in which you specify the number of clusters you expect. This is as opposed to hierarchical cluster analysis methods.
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KMeans is not predicting the correct cluster
k-means clustering is done and created 5 optimal number of clusters. (Clustering is done unevenly).
While using them in my model, the model is not choosing the exact cluster which has the exact data. …
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What can be the reasons for 95% of samples belong to one cluster when there is 5 clusters?
'''I used the k-means algorithm to clustering set of documents which are textual data only.
The document has 2lack records.
Surprisingly the result for the clustering is
90% of records is storing in 1 …
- 1