Abstract
In the previous chapter, the basic data clustering methods were introduced. In this chapter, several advanced clustering scenarios will be studied, such as the impact of the size, dimensionality, or type of the underlying data. In addition, it is possible to obtain significant insights with the use of advanced supervision methods, or with the use of ensemble-based algorithms. In particular, two important aspects of clustering algorithms will be addressed:
Keywords
Cluster Algorithm Subspace Cluster Cluster Feature Previous Chapter Ensemble Cluster
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© Springer International Publishing Switzerland 2015