Clustering ensemble, or consensus clustering, has emerged as a powerful tool for improving
both the robustness and the stability of results from individual clustering methods. Weighted …

The low frequency oscillations have always been the main problem of power system and
can lead to power angle instability, limiting the maximum power to be transmitted on tie-lines …

For obtaining the more robust, novel, stable, and consistent clustering result, clustering
ensemble has been emerged. There are two approaches in clustering ensemble …

It is highly likely that there is a partition that is judged by a stability measure as a bad one
while it contains one (or more) high quality cluster (s); and then it is totally neglected. So …

Clustering ensemble indicates to an approach in which a number of (usually weak) base
clusterings are performed and their consensus clustering is used as the final clustering …

The ensemble clustering tries to aggregate a number of basic clusterings with the aim of
producing a more consistent, robust and well-performing consensus clustering result. The …

With the development of big data technology, creating the 'Digital Campus' is a hot issue. For
an increasing amount of data, traditional data mining algorithms are not suitable. The …

Many factors with the perspective of bipolarity in the traditional Chinese food system “Yin
and Yang food system” manipulate with types of food simultaneously to have a balanced …

Chrysoprase is a popular gemstone with consumers because of its charming apple green
colour but a scientific classification of its colour has not yet been achieved. In this research …

Clustering ensemble (CE) takes multiple clustering solutions into consideration in order to
effectively improve the accuracy and robustness of the final result. To reduce redundancy as …