Chapter 3: Clustering methods
3.1 Cluster analysis
The previous chapter has shown how to replace the original data matrix with pairwise similarities...
3.2 Hierarchical agglomerative clustering
The most commonly used clustering techniques are the hierarchical agglomerative methods. These u...
3.3 Example: Bristol Channel zooplankton
perform hierarchical cluster analyses of zooplankton samples, collected by double oblique net ha...
3.4 Recommendations
Hierarchical clustering with group-average linking, based on sample similarities or dissimilari...
3.5 Similarity profiles (SIMPROF)
Given the form of the dendrogram in Fig. 3.3, with high similarities in apparently tightly define...
3.6 Binary divisive clustering
All discussion so far has been in terms of hierarchical agglomerative clustering, in which sample...
3.7 k-R clustering (non-hierarchical)
Another major class of clustering techniques is non-hierarchical, referred to above as flat clust...