ml-recall

#dendrogram

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easyAI-checkedClustering

A biologist wants to group gene-expression samples but has no idea how many clusters there might be. Which method most easily lets her look at the data at different levels of granularity?

K-Means, rerun for each candidate K1
DBSCAN, rerun for each candidate eps2
Hierarchical clustering with a dendrogram3
A Gaussian mixture, refit for each number of components4

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