Modified affinity propagation
نویسندگان
چکیده
منابع مشابه
Clustering Large-Scale Data Based On Modified Affinity Propagation Algorithm
Traditional clustering algorithms are no longer suitable for use in data mining applications that make use of large-scale data. There have been many large-scale data clustering algorithms proposed in recent years, but most of them do not achieve clustering with high quality. Despite that Affinity Propagation (AP) is effective and accurate in normal data clustering, but it is not effective for l...
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In this paper, we address a problem of managing tagged images with hybrid summarization. We formulate this problem as finding a few image exemplars to represent the image set semantically and visually, and solve it in a hybrid way by exploiting both visual and textual information associated with images. We propose a novel approach, called homogeneous and heterogeneous message propagation (HMP)....
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Affinity propagation constitutes an exemplar based clustering technique which reliably optimizes the quantization error given a matrix of pairwise data dissimilarities by means of the max-sum algorithm for factor graphs. Albeit very efficient for sparse matrices, it displays squared complexity in the worst case, hence it is not suited as high throughput method due to time and memory constraints...
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Facility location (FL) is a well-researched problem in operational-research (Şahin Güvenç & Haldun, 2007), and is closely related to EBC. Given a set of N customers and M potential facilities to open, as well as costs sij for customer i to use facility j, and a facility setup cost cj associated with opening a facility j, we wish to find the set of facilities to open, as well as the assignments ...
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Affinity propagation clustering (AP) has two limitations: it is hard to know what value of parameter ‘preference’ can yield an optimal clustering solution, and oscillations cannot be eliminated automatically if occur. The adaptive AP method is proposed to overcome these limitations, including adaptive scanning of preferences to search space of the number of clusters for finding the optimal clus...
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ژورنال
عنوان ژورنال: IOP Conference Series: Materials Science and Engineering
سال: 2018
ISSN: 1757-899X
DOI: 10.1088/1757-899x/420/1/012121