Correlation clustering is based on a tolerance relation that represents the similarity among objects. Its result is a partition which can be treated as the system of base sets. However, singleton clusters represent very little information about the similarity. If the singleton clusters are discarded,...
Logic on Similarity Based Rough Sets Chapter© 2018 Similarity-based Rough Sets and Its Applications in Data Mining Chapter© 2020 Similarity Based Rough Sets with Annotation Chapter© 2018 References Aigner, M.: Enumeration via ballot numbers. Discret. Math.308(12), 2544–2563 (2008).http:...
Similarity-based two-view multiple instance learning In this section, we will propose a new similarity-based two-view MIL method and apply it to the image classification with description text. In Section 3.1, we will discuss the similarity model and two-view data of MIL. In Section 3.2, we...
network based on deep metric learning, which maps character images to Euclidean space as feature vectors and then uses nearest neighbor classifiers for oracle recognition. Due to its triplet training approach, it is difficult to train to meaningful training samples, which leads to its slow training ...
Thus, it is desirable to develop an approach to quantify the level of similarity between the functions compared (i.e., the source and the target function). Based on the discussion, the approach shall not require explicit function representation or any knowledge about its optima, and shall work...
重点An application of fuzzy sets to the Geological Strength Index (GSI) system used in rock engineering 热度: A new cluster validity measure based on general type-2 fuzzy sets Application in gene expression data clustering 热度: Machine intelligence, rough sets and rough-fuzzy granular ...
shares twilight-zone similarity, show that SCPRED obtains 80.3% accuracy when predicting the four SCOP-defined structural classes, which is superior when compared with over a dozen recent competing methods that are based on support vector machine, logistic regression, and ensemble of classifiers ...
This significantly increases the computational resource need of the set approximation process and limits the efficient use of them in large databases. To overcome this problem, a possible solution is presented in this dissertation. The space is called similarity-based rough sets where the system of ...
Messages which are provided to an application are monitored. Similarities between the messages are determined based on a distance algorithm, in one approach, and messages which are
Abo-Tabl EA (2012) Rough sets and topological spaces based on similarity. J Mach Learn Cybern. doi:10.1007/s13042- 012-0107-7Abo-Tabl, E.A. (2013) Rough Sets and Topological Spaces Based on Similarity. International Journal of Machine Learning and Cybernetics, 4, 451-458. http://dx....