Issues With Existing Clustering Techniques
- Current clustering techniques do not address all the requirements adequately.
- Dealing with large number of dimensions and large number of data items can be problematic because of time complexity;
- Effectiveness of the method depends on the definition of “distance” (for distance based clustering)
- If an obvious distance measure doesn’t exist we must “define” it, which is not always easy, especially in multidimensional spaces.
- The result of the clustering algorithm (that in many cases can be arbitrary itself) can be interpreted in different ways.
Read more about this topic: Consensus Clustering
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