Opinion mining and WAVE clustering
The WAVE clustering algorithm is a grid-based clustering algorithm. It depends on the relation between spatial dataset and multidimensional signals. The idea is that the cluster in a multidimensional spatial dataset turns out to be more distinguishable after a wavelet transformation, that is, after applying wavelets to the input data or the preprocessed input dataset. The dense part segmented by the sparse area in the transformed result represents clusters.
The characteristics of the WAVE cluster algorithm are as follows:
- Efficient for a large dataset
- Efficient for finding various shapes of clusters
- Insensitive to noise or outlier
- Insensitive with respect to the input order of a dataset
- Multiresolution, which is introduced ...
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