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Fast Constrained Spectral Clustering and Cluster Ensemble with Random Projection
المؤلفون المشاركون
Ye, Mao
Liu, Wenfen
Wei, Jianghong
Hu, Xuexian
المصدر
Computational Intelligence and Neuroscience
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-14، 14ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-09-25
دولة النشر
مصر
عدد الصفحات
14
التخصصات الرئيسية
الملخص EN
Constrained spectral clustering (CSC) method can greatly improve the clustering accuracy with the incorporation of constraint information into spectral clustering and thus has been paid academic attention widely.
In this paper, we propose a fast CSC algorithm via encoding landmark-based graph construction into a new CSC model and applying random sampling to decrease the data size after spectral embedding.
Compared with the original model, the new algorithm has the similar results with the increase of its model size asymptotically; compared with the most efficient CSC algorithm known, the new algorithm runs faster and has a wider range of suitable data sets.
Meanwhile, a scalable semisupervised cluster ensemble algorithm is also proposed via the combination of our fast CSC algorithm and dimensionality reduction with random projection in the process of spectral ensemble clustering.
We demonstrate by presenting theoretical analysis and empirical results that the new cluster ensemble algorithm has advantages in terms of efficiency and effectiveness.
Furthermore, the approximate preservation of random projection in clustering accuracy proved in the stage of consensus clustering is also suitable for the weighted k-means clustering and thus gives the theoretical guarantee to this special kind of k-means clustering where each point has its corresponding weight.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Liu, Wenfen& Ye, Mao& Wei, Jianghong& Hu, Xuexian. 2017. Fast Constrained Spectral Clustering and Cluster Ensemble with Random Projection. Computational Intelligence and Neuroscience،Vol. 2017, no. 2017, pp.1-14.
https://search.emarefa.net/detail/BIM-1139854
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Liu, Wenfen…[et al.]. Fast Constrained Spectral Clustering and Cluster Ensemble with Random Projection. Computational Intelligence and Neuroscience No. 2017 (2017), pp.1-14.
https://search.emarefa.net/detail/BIM-1139854
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Liu, Wenfen& Ye, Mao& Wei, Jianghong& Hu, Xuexian. Fast Constrained Spectral Clustering and Cluster Ensemble with Random Projection. Computational Intelligence and Neuroscience. 2017. Vol. 2017, no. 2017, pp.1-14.
https://search.emarefa.net/detail/BIM-1139854
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1139854
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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