Cluster Forests Based Fuzzy C-Means for Data Clustering

    SOCO-CISIS-ICEUTE, pp. 564-573, 2016.

    Cited by: 1|Bibtex|Views1|Links
    EI

    Abstract:

    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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