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,...
In the authors' previous research the possible usage of correlation clustering in rough set theory was investigated. 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. Howev...
Pawlak, Z., et al.: Rough Sets: Theoretical Aspects of Reasoning About Data. System Theory Knowledge Engineering and Problem Solving, vol. 9. Kluwer Academic Publishers, Dordrecht (1991) Book MATH Google Scholar Skowron, A., Stepaniuk, J.: Tolerance approximation spaces. Fundamenta Informaticae...
In the late 1960s, Mischel (1968) sparked a debate in personality psychology by critiquing the reliance on trait-based frameworks of behavior. While the standard approach had been to measure stable dispositions (such as Extraversion), Mischel argued that behavior was largely determined by situational...
The catch 22 situation in psychiatry is that for precise diagnostic categories/criteria, we need precise investigative tests, and for precise investigative... AR Singh - 《Mens Sana Monogr》 被引量: 10发表: 2013年 TOLERANCE ROUGH SET BASED ATTRIBUTE EXTRACTION APPROACH FOR MULTIPLE SEMANTIC KNOWLEDG...
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...
This paper presents a research on the problem of similarity learning, which is a part of author's PHD dissertation. It describes a similarity model, called rule-based similarity, and shows algorithms for constructing this model from available data. The model utilizes notions from the rough set ...
Although multiple reducts can be searched from the given data set, finding one of them in the classification learning tasks with the best classification performance is sufficient. Based on the discussions of the monotonically increasing properties of the fuzzy dependency function, we construct an ...
Abo-Tabl EA (2012) Rough sets and topological spaces based on similarity. Int J Mach Learn Cybern. : 10.1007/s13042-012-0107-7Abo, E. A.: Rough sets and topological spaces based on similarity. International Journal of Machine Learning and Cybernetics 4, 451-458 (2013)...
Cluster validity indices have been used to evaluate the quality of fuzzy partitions. In this paper, we propose a new index, which uses concepts of Fuzzy Rough sets to evaluate the average intra-cluster similarity of fuzzy clusters produced by the fuzzy c