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Results tagged with clustering
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user 66957
Cluster analysis or clustering is the task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in some sense or another) to each other than to those in other groups (clusters). It is a main task of exploratory data mining, and a common technique for statistical data analysis, used in many fields, including machine learning, pattern recognition, image analysis, information retrieval etc.
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What criteria use in order to select the best internal validation for clustering?
I am doing homework about how to evaluate a clustering algorithm both hierarchical and partitional. … For doing this I have a dataset that I can plot as you can see:
The clustering algorithms that I am using are K-Means, Gaussian mixture, and Agglomerative. …
- 337
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Why Davies-Bould chose a number ob cluster higher than Silhouette or Calinsky Harabasz?
I am doing use several metrics in order to know what number of clusters is correct in order to do this I selected 3 clustering algorithms and 3 internal evaluation metrics, Silhouette, Calinsky Harbasz …
- 337