Results 11 to 20 of about 636,655 (299)
Relational visual cluster validity [PDF]
, 2007 The assessment of cluster validity plays a very important role in cluster analysis. Most commonly used cluster validity methods are based on statistical hypothesis testing or finding the best clustering scheme by computing a number of different cluster ...
Ding, Y., Harrison, R.F.
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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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On the direct evaluation of the equilibrium distribution of clusters by simulation. II [PDF]
, 2001 We clarify some of the subtle issues surrounding the observational cluster method, a simulation technique for studying nucleation. The validity of the method is reaffirmed here.
Kusaka, Isamu +2 more
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Colour Extraction of Agarwood Images for Fuzzy C-Means Classification
Walailak Journal of Science and Technology, 2012 Colour is one of the quality features used in determining agarwood quality and grade. This research investigates the relationship of agarwood physical colour properties with its price. Colour features of agarwood images taken from Red, Green, Blue (RGB),
Mohamad Razi MAD AMIN +3 more
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CVIK: A Matlab-based cluster validity index toolbox for automatic data clustering
SoftwareX, 2023 We present CVIK, a Matlab-based toolbox for assisting the process of cluster analysis applications. This toolbox aims to implement 28 cluster validity indices (CVIs) for measuring clustering quality available to data scientists, researchers, and ...
Adán José-García +1 more
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Energies, 2013 Forecasting and modeling building energy profiles require tools able to discover patterns within large amounts of collected information. Clustering is the main technique used to partition data into groups based on internal and a priori unknown schemes ...
Wolfgang Kastner, Félix Iglesias
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Boundary Matching and Interior Connectivity-Based Cluster Validity Anlysis
Applied Sciences, 2020 The evaluation of clustering results plays an important role in clustering analysis. However, the existing validity indices are limited to a specific clustering algorithm, clustering parameter, and assumption in practice.
Qi Li +5 more
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International Journal of Contemporary Educational Research, 2022 The aim of the study is to compare TIMSS 2011 proficiency levels with the proficiency levels defined by the researchers using cluster analysis for Turkey, Korean, Norway, and Morocco in 4th and 8th grades in the fields of science and mathematics ...
Mahmut Sami Koyuncu, Ayşenur ERDEMİR
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Star Formation and Relaxation in 379 Nearby Galaxy Clusters [PDF]
, 2015 We investigate the relationship between star formation (SF) and level of relaxation in a sample of 379 galaxy clusters at z < 0.2. We use data from the Sloan Digital Sky Survey to measure cluster membership and level of relaxation, and to select star ...
Cohen, Seth A. +2 more
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Cluster validity indices for mixture hazards regression models
Mathematical Biosciences and Engineering, 2020 In the analysis of survival data, the problems of competing risks arise frequently in medical applications where individuals fail from multiple causes. Semiparametric mixture regression models have become a prominent approach in competing risks analysis ...
Yi-Wen Chang +2 more
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