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Provost Chapter 6 (Understanding the results of clustering (Correlation is…
Provost Chapter 6
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Similarity and Distance
Once an object can be represented as data, we can analyze it via similarity and distance
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Comparing similarities is useful, just keep in mind that there is not specific unit of measurement sometimes
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Geometric Interpretation, Overfitting, and Complexity Control
When a negative instance is surround by positive ones, it becomes a "negative island".
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Clustering
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Hierarchical Clustering
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When distance is the smallest clusters, we call this linkage
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