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Monthly Archives: August 2013
Mapper and the choice of scale
In last week’s post, I described the DBSCAN clustering algorithm, which uses the notion of density to determine which data points in a data set form tightly packed groups called clusters. This algorithm relies on two parameters – a distance … Continue reading
Posted in Clustering, Unsupervised learning
4 Comments
Clusters and DBScan
A few weeks ago, I mentioned the idea of a clustering algorithm, but here’s a recap of the idea: Often, a single data set will be made up of different groups of data points, each of which corresponds to a … Continue reading
Posted in Clustering, Unsupervised learning
7 Comments
Graphs and networks
In last week’s post, I discussed the difference between the extrinsic and intrinsic structures of a data set. The extrinsic structure, which has to do with how the data points sit in the data space, is encoded by the vector … Continue reading
Posted in Uncategorized
2 Comments
Intrinsic vs. Extrinsic Structure
At this point, I think it will be useful to introduce an idea from geometry that is very helpful in pure mathematics, and that I find helpful for understanding the geometry of data sets. This idea is difference between the … Continue reading
Posted in Unsupervised learning
6 Comments