Method for detecting abnormal behaviour of users based on selective clustering ensemble
Sign Up to like & getrecommendations! Published in 2018 at "IET Networks"
DOI: 10.1049/iet-net.2017.0127
Abstract: With the development of cloud computing in the mobile communications industry, the credibility between users and the cloud has become an important obstacle to the development of mobile cloud services. Therefore, the user's abnormal behaviour… read more here.
Keywords: clustering ensemble; clustered members; clustering; abnormal behaviour ... See more keywords
Clustering Ensemble Based on Hybrid Multiview Clustering.
Sign Up to like & getrecommendations! Published in 2020 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2020.3034157
Abstract: As an effective method for clustering applications, the clustering ensemble algorithm integrates different clustering solutions into a final one, thus improving the clustering efficiency. The key to designing the clustering ensemble algorithm is to improve… read more here.
Keywords: multiview; multiview clustering; clustering ensemble; method ... See more keywords
Fast and Effective Active Clustering Ensemble Based on Density Peak
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2020.3015795
Abstract: Semisupervised clustering methods improve performance by randomly selecting pairwise constraints, which may lead to redundancy and instability. In this context, active clustering is proposed to maximize the efficacy of annotations by effectively using pairwise constraints.… read more here.
Keywords: density peak; clustering ensemble; fast effective; active clustering ... See more keywords
Fair Clustering Ensemble With Equal Cluster Capacity
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2024.3507857
Abstract: Clustering ensemble has been widely studied in data mining and machine learning. However, the existing clustering ensemble methods do not pay attention to fairness, which is important in real-world applications, especially in applications involving humans.… read more here.
Keywords: capacity; clustering ensemble; cluster capacity; fairness ... See more keywords
An Ensemble of Locally Reliable Cluster Solutions
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DOI: 10.3390/app10051891
Abstract: 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. Knowing democratic decisions are better than dictatorial decisions,… read more here.
Keywords: clustering ensemble; ensemble locally; reliable cluster; locally reliable ... See more keywords
Improved Selective Deep-Learning-Based Clustering Ensemble
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DOI: 10.3390/app14020719
Abstract: Clustering ensemble integrates multiple base clustering results to improve the stability and robustness of the single clustering method. It consists of two principal steps: a generation step, which is about the creation of base clusterings,… read more here.
Keywords: base clusterings; deep clustering; clustering ensemble; clustering algorithms ... See more keywords