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It stands to reason that, if hierarchical models describe the data better than flat cluster models, then such models will have higher discriminatory power.
The one major difference was the Hereford breed in the Bovine HapMap study, which was located well away from the other breeds as a loose, flat cluster.
Visualization of the most prominent (red line in dendrogram) protein fold change profiles (log2 scale) occurring with age, showing up-regulated (cluster 1), down-regulated (cluster 2) and mainly flat (cluster 3) profiles.
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These protocols comprise respectively the different approaches available for proactive protocols, employing hierarchical clustered routing, flat un-clustered routing and flat clustered routing, taking also into account the different approaches taken by the reactive AODV protocol.
In addition, many researchers believe that hierarchical clustering produces better clusters than flat clustering.
Parsnips, covered with flat clusters of small flowers, loom 5 feet high and 3 feet across.
In general, we select flat clustering when efficiency is important and hierarchical clustering when one of the potential problems of flat clustering (not enough structure, predetermined number of clusters, non-determinism) is a concern.
Existing hierarchical clustering algorithms involve a flat clustering component and an additional agglomerative or divisive procedure.
The flat clusters of bright orange flowers crown stems that are between one and two feet tall.
Flat clustering is efficient and conceptually simple, but as we saw in Chapter 16 it has a number of drawbacks.
Hierarchical clustering (or hierarchic clustering ) outputs a hierarchy, a structure that is more informative than the unstructured set of clusters returned by flat clustering.
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