Monthly Archives: September 2013

TILO/PRC Clustering

In the last few weeks, we’ve looked at a number of different algorithms for dividing a data set into clusters, and a few ways of measuring how good the clusters found by such an algorithm are. This week, I’m going … Continue reading

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Modularity – Measuring cluster separation

We’ve now seen a number of different clustering algorithms, each of which will divide a data set into a number of subsets. This week, I want to ask the question: How do we know if answer that a clustering algorithm … Continue reading

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Spectral clustering

In the last few posts, we’ve been studying clustering, i.e. algorithms that try to cut a given data set into a number of smaller, more tightly packed subsets, each of which might represent a different phenomenon or a different type … Continue reading

Posted in Clustering, Unsupervised learning | 9 Comments