Adaptive Semi-Supervised Clustering Algorithm with Label Propagation
نویسندگان
چکیده
منابع مشابه
Active Semi-supervised Community Detection Algorithm with Label Propagation
Community detection is the fundamental problem in the analysis and understanding of complex networks, which has attracted a lot of attention in the last decade. Active learning aims to achieve high accuracy using as few labeled data as possible. However, so far as we know, active learning has not been applied to detect community to improve the performance of discovering community structure of c...
متن کاملSemi-supervised Relation Extraction with Label Propagation
To overcome the problem of not having enough manually labeled relation instances for supervised relation extraction methods, in this paper we propose a label propagation (LP) based semi-supervised learning algorithm for relation extraction task to learn from both labeled and unlabeled data. Evaluation on the ACE corpus showed when only a few labeled examples are available, our LP based relation...
متن کاملSemi-supervised Evidential Label Propagation Algorithm for Graph Data
In the task of community detection, there often exists some useful prior information. In this paper, a Semi-supervised clustering approach using a new Evidential Label Propagation strategy (SELP) is proposed to incorporate the domain knowledge into the community detection model. The main advantage of SELP is that it can take limited supervised knowledge to guide the detection process. The prior...
متن کاملSemi-Supervised Learning by Mixed Label Propagation
Recent studies have shown that graph-based approaches are effective for semi-supervised learning. The key idea behind many graph-based approaches is to enforce the consistency between the class assignment of unlabeled examples and the pairwise similarity between examples. One major limitation with most graph-based approaches is that they are unable to explore dissimilarity or negative similarit...
متن کاملAdaptive Semi-supervised Affinity Propagation Clustering Algorithm Based on Structural Similarity
Original scientific paper In view of the unsatisfying clustering effect of affinity propagation (AP) clustering algorithm when dealing with data sets of complex structures, an adaptive semi-supervised affinity propagation clustering algorithm based on structural similarity (SAAP-SS) is proposed in this paper. First, a novel structural similarity is proposed by solving a non-linear, low-rank rep...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Software Engineering
سال: 2013
ISSN: 1819-4311
DOI: 10.3923/jse.2014.14.22