Document worth reading: “Weighted Clustering Ensemble: A Review”

Clustering ensemble has emerged as a robust software program for bettering every the robustness and the stableness of outcomes from explicit particular person clustering methods. Weighted clustering ensemble arises naturally from clustering ensemble. One of the arguments for weighted clustering ensemble is that elements (clusterings or clusters) in a clustering ensemble are of varied top quality, or that objects or choices are of varied significance. However, it is not attainable to right away apply the weighting mechanisms from classification (supervised) space to clustering (unsupervised) space, moreover because of clustering is inherently an ill-posed downside. This paper provides a top level view of weighted clustering ensemble by discussing varied sorts of weights, major approaches to determining weight values, and features of weighted clustering ensemble to superior info. The unifying framework supplied on this paper will help clustering practitioners select primarily probably the most acceptable weighting mechanisms for his or her very personal points. Weighted Clustering Ensemble: A Review