Cluster Forests Based Fuzzy C-Means for Data Clustering
SOCO-CISIS-ICEUTE, pp. 564-573, 2016.
Cluster forests is a novel approach for ensemble clustering based on the aggregation of partial K-means clustering trees. Cluster forests was inspired from random forests algorithm. Cluster forests gives better results than other popular clustering algorithms on most standard benchmarks. In this paper, we propose an improved version of cl...More
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