Results 1 to 10 of about 7,030,811 (353)
VIASCKDE Index: A Novel Internal Cluster Validity Index for Arbitrary-Shaped Clusters Based on the Kernel Density Estimation. [PDF]
Comput Intell Neurosci, 2022 The cluster evaluation process is of great importance in areas of machine learning and data mining. Evaluating the clustering quality of clusters shows how much any proposed approach or algorithm is competent.
Şenol A.
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A New Validity Index Based on Fuzzy Energy and Fuzzy Entropy Measures in Fuzzy Clustering Problems [PDF]
Entropy, 2020 Two well-known drawbacks in fuzzy clustering are the requirement of assigning in advance the number of clusters and random initialization of cluster centers.
Ferdinando Di Martino, Salvatore Sessa
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An Internal Validity Index Based on Density-Involved Distance
IEEE Access, 2019 It is crucial to evaluate the quality of clustering results in cluster analysis. Although many cluster validity indices (CVIs) have been proposed in the literature, they have some limitations when dealing with non-spherical datasets.
Lianyu Hu, Caiming Zhong
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Barekeng, 2023 Cluster analysis is an analysis that is useful in summarizing data by grouping objects based on certain similarity characteristics. One of the group analysis is Fuzzy Gustafson-Kessel (FGK) which is the development of the Fuzzy C-Means (FCM) method.
Yunda Sasha Paradilla +2 more
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مجلة بغداد للعلوم, 2021 This study focused on spectral clustering (SC) and three-constraint affinity matrix spectral clustering (3CAM-SC) to determine the number of clusters and the membership of the clusters of the COST 2100 channel model (C2CM) multipath dataset ...
Jojo Blanza
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Environmental Worry Index-11: development, validity, and reliability [PDF]
International Journal of Human Capital in Urban Management, 2023 BACKGROUND AND OBJECTIVES: Environmental worry involve primarily the thoughts of some hazardous immediate and long-run side effects of degradation that happened to our ecological system.
R. Oguntayo +5 more
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Clustering by Constructing Hyper-Planes
IEEE Access, 2021 As a ubiquitous method in the field of machine learning, clustering algorithm attracts a lot attention. Because only some basic information can be utilized, clustering data points into correct categories is a critical task especially when the cluster ...
Luhong Diao, Manman Deng, Jinying Gao
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Development and Validation of Persian Risk Assessment Tool using National Comprehensive Cancer Network Guideline for Colorectal Cancer Screening [PDF]
Journal of Clinical and Diagnostic Research, 2020 Introduction: Despite evidence that early diagnosis of Colorectal Cancer (CRC) reduces the associated death burden, screening programs are uncommon even in developed countries.
Roya Dolatkhah +7 more
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Normalization-Based Validity Index of Adaptive K-Means Clustering for Multi-Solution Application
IEEE Access, 2020 Validity evaluation aims to analyze the quality of the clustering algorithm with different measurement criteria. A variety of assessment methods have been introduced in the application of pattern recognition and computer vision. Although it is well known
Tao Li, Yitao Ma, Tetsuo Endoh
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World-class universities and technological development: Unanswered questions
Journal of New Economy, 2022 The geopolitical turbulence dictates the need to transform the science and education sphere and reconsider the role of universities in today’s world. The article deals with the issue of defining and identifying world-class universities (WCU) and their ...
Evgeny V. Balatsky, Natalia A. Ekimova
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