Recitation 6: Random forests and affinity propagation
نویسندگان
چکیده
– Partitioning clustering algorithms, construct non-overlapping clusters such that each item is assigned to exactly one cluster. Example: k-means – Agglomerative clustering algorithms construct a hierarchical set of nested clusters, indicating the relatedness between clusters. Example: hierarchical clustering • In classification, we partition data into known labels. For example, we might construct a classifier to partition a set of tumor samples into those likely to respond to a given drug and those unlikely to respond to a given drug based on their gene expression profiles.
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