Multiview Clustering via Robust Neighboring Constraint Nonnegative Matrix Factorization
المؤلفون المشاركون
Pan, Zhisong
Li, Guopeng
Chen, Feiqiong
Wang, Shuaihui
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-11-23
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
الملخص EN
Many real-world datasets are described by multiple views, which can provide complementary information to each other.
Synthesizing multiview features for data representation can lead to more comprehensive data description for clustering task.
However, it is often difficult to preserve the locally real structure in each view and reconcile the noises and outliers among views.
In this paper, instead of seeking for the common representation among views, a novel robust neighboring constraint nonnegative matrix factorization (rNNMF) is proposed to learn the neighbor structure representation in each view, and L2,1-norm-based loss function is designed to improve its robustness against noises and outliers.
Then, a final comprehensive representation of data was integrated with those representations of multiviews.
Finally, a neighboring similarity graph was learned and the graph cut method was used to partition data into its underlying clusters.
Experimental results on several real-world datasets have shown that our model achieves more accurate performance in multiview clustering compared to existing state-of-the-art methods.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Chen, Feiqiong& Li, Guopeng& Wang, Shuaihui& Pan, Zhisong. 2019. Multiview Clustering via Robust Neighboring Constraint Nonnegative Matrix Factorization. Mathematical Problems in Engineering،Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1196331
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Chen, Feiqiong…[et al.]. Multiview Clustering via Robust Neighboring Constraint Nonnegative Matrix Factorization. Mathematical Problems in Engineering No. 2019 (2019), pp.1-10.
https://search.emarefa.net/detail/BIM-1196331
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Chen, Feiqiong& Li, Guopeng& Wang, Shuaihui& Pan, Zhisong. Multiview Clustering via Robust Neighboring Constraint Nonnegative Matrix Factorization. Mathematical Problems in Engineering. 2019. Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1196331
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1196331
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر