Journal
BIOSTATISTICS
Volume 7, Issue 2, Pages 286-301Publisher
OXFORD UNIV PRESS
DOI: 10.1093/biostatistics/kxj007
Keywords
bottom-up clustering; mutual cluster; top-down clustering
Funding
- NCI NIH HHS [2 R01 CA72028] Funding Source: Medline
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In this paper, we propose a hybrid clustering method that combines the strengths of bottom-up hierarchical clustering with that of top-down clustering. The first method is good at identifying small clusters but not large ones; the strengths are reversed for the second method. The hybrid method is built on the new idea of a mutual cluster: a group of points closer to each other than to any other points. Theoretical connections between mutual clusters and bottom-up clustering methods are established, aiding in their interpretation and providing an algorithm for identification of mutual clusters. We illustrate the technique on simulated and real microarray datasets.
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