Reveal Community Structure by Local Similarity and Hierarchical Clustering
نویسندگان
چکیده
منابع مشابه
Hierarchical Community Detection Algorithm based on Local Similarity
Although community, one of the general characteristics of complex networks, has obvious hierarchical structure, in-depth research on its application in the current community detection algorithms is limited. In this paper we present a novel hierarchical community detection algorithm which starts from the node similarity calculation based on local adjacency in networks. Then we find the initial c...
متن کاملDistributional Similarity, Phase Transitions and Hierarchical Clustering
We describe a method for automatically clustering words according to their distribution in particular syntactic contexts. Words are represented by the relative frequency distributions of contexts in which they appear, and relative entropy is used to measure the dissimilarity of those distributions. Clusters are represented by "typical" context distributions averaged from the given words accordi...
متن کاملHierarchical Clustering in Face Similarity Score Space
Similarity scores in face recognition represent the proximity between pairs of images as computed by a matching algorithm. Given a large set of images and the proximities between all pairs, a similarity score space is defined. Cluster analysis was applied to the similarity score space to develop various taxonomies. Given the number of subjects in the dataset, we used hierarchical methods to agg...
متن کاملImproving Imbalanced data classification accuracy by using Fuzzy Similarity Measure and subtractive clustering
Classification is an one of the important parts of data mining and knowledge discovery. In most cases, the data that is utilized to used to training the clusters is not well distributed. This inappropriate distribution occurs when one class has a large number of samples but while the number of other class samples is naturally inherently low. In general, the methods of solving this kind of prob...
متن کاملWord Similarity Computing Based on Hybrid Hierarchical Structure by HowNet
Word similarity computing is one of the most important and fundamental task in the field of natural language processing. Most of word similarity methods perform well in synonyms, but not well between words whose similarity is vague. It confronts the challenge of how to overcome this problem. An approach is proposed to compute Chinese word similarity based on hybrid hierarchical structure by How...
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: IEEE Access
سال: 2019
ISSN: 2169-3536
DOI: 10.1109/access.2019.2940213