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Barekeng, 2023 Indonesia is a country that has a population density that is increasing every year, with the increase in population density, the crime rate in Indonesia is increasing. Criminal acts arise because they are supported by factors that cause crime. To improve
Bella Destia, Mujiati Dwi Kartikasari
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Hybrid Fuzzy C-Means Clustering Algorithm Oriented to Big Data Realms
Axioms, 2022 A hybrid variant of the Fuzzy C-Means and K-Means algorithms is proposed to solve large datasets such as those presented in Big Data. The Fuzzy C-Means algorithm is sensitive to the initial values of the membership matrix.
Joaquín Pérez-Ortega +6 more
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Combining Fuzzy C-Means Clustering with Fuzzy Rough Feature Selection
Applied Sciences, 2019 With the rapid development of the network, data fusion becomes an important research hotspot. Large amounts of data need to be preprocessed in data fusion; in practice, the features of datasets can be filtered to reduce the amount of data.
Ruonan Zhao, Lize Gu, Xiaoning Zhu
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Bilateral Weighted Fuzzy C-Means Clustering
Iranian Journal of Electrical and Electronic Engineering, 2012 Nowadays, the Fuzzy C-Means method has become one of the most popular clustering methods based on minimization of a criterion function. However, the performance of this clustering algorithm may be significantly degraded in the presence of noise.
A. H. Hadjahmadi +2 more
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A New Modified Technique to Identify Outlier Values Using Fuzzy Clustering [PDF]
مجلة جامعة الانبار للعلوم الصرفةOutliers within a dataset are data points that substantially differ from the rest of the data. These atypical data points can be attributed to a range of factors, such as errors in measurement, issues with data input, and natural variations in the data ...
Wafaa Hasanain, Saja Sakran
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Fuzzy Information and EngineeringSemi-supervised clustering (SSC) methods have emerged as a notable research area in machine learning. These methods integrate prior knowledge of class distribution into their clustering process.
Shirin Khezri +3 more
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FP-Conv-CM: Fuzzy Probabilistic Convolution C-Means
Mathematics, 2023 Soft computing models based on fuzzy or probabilistic approaches provide decision system makers with the necessary capabilities to deal with imprecise and incomplete information.
Karim El Moutaouakil +3 more
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Conditional spatial biased intuitionistic clustering technique for brain MRI image segmentation
Frontiers in Computational NeuroscienceIn clinical research, it is crucial to segment the magnetic resonance (MR) brain image for studying the internal tissues of the brain. To address this challenge in a sustainable manner, a novel approach has been proposed leveraging the power of ...
Jyoti Arora +6 more
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Electrical fuzzy C-means: A new heuristic fuzzy clustering algorithm
Cogent Engineering, 2016 Many heuristic and meta-heuristic algorithms have been successfully applied in the literature to solve the clustering problems. The algorithms have been created for partitioning and classifying a set of data because of two main purposes: at first, for ...
Esmaeil Mehdizadeh, Amir Golabzaei
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Fuzzy Logic in KNIME – Modules for Approximate Reasoning – [PDF]
International Journal of Computational Intelligence SystemsIn this paper we describe the open source data analytics platform KNIME, focusing particularly on extensions and modules supporting fuzzy sets and fuzzy learning algorithms such as fuzzy clustering algorithms, rule induction methods, and interactive ...
MichaelR. Berthold +2 more
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