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Incomplete multi-view clustering based on low-rank representation with adaptive graph regularization
Incomplete multi-view clustering has attracted attention due to its ability to deal with clustering problems with incomplete information. However,...
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A novel projection-based distance measure for interval-valued intuitionistic multiplicative clustering algorithm
Distance measure is an effective tool for describing the difference between two vectors. Many scholars have proposed a lot of distance measures...
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On rough set based fuzzy clustering for graph data
Data clustering refers to partition the original data set into some subsets such that every vertex belongs to one or more subsets at the same time....
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A demand-side management assessment of residential consumers by a clustering approach
Residential consumers have a significant share in total energy demand today. Demand-side management is a collection of processes which makes...
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Unsupervised clustering approach for recognizing residual stress and distortion patterns for different parts for directed energy deposition additive manufacturing
Data obtained from additive manufactured components can be analyzed to gain a better understanding of the manufacturing physics and to improve the...
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Research on the influence of mental health on college students' employment based on fuzzy clustering techniques
With the increasingly severe unemployment situation, the competition among undergraduates in employment is becoming more and more fierce, and the...
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Partitioning Clustering Techniques
Partitioning clustering segments images without any supervision or human interaction. The partitioning clustering process starts with a guess of a...
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Automatic Landslide Segmentation Using a Combination of Grad-CAM Visualization and K-Means Clustering Techniques
Rapid detection and accurate map** of landslides are crucial for damage detection and subsequent prevention of secondary damage. In this study, a...
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Robust Connectivity-Based Internet of Vehicles Clustering Algorithm
Recent advances in networking and the emergence of the Internet of Things (IoT) have facilitated the development of the Internet of Vehicles (IoV), a...
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A novel intuitionistic fuzzy similarity measure with applications in decision-making, pattern recognition, and clustering problems
The distance and similarity measures are two interrelated information measures that can be effectively used to quantify the degree of deviation and...
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Group and Individual Fairness in Clustering Algorithms
Clustering is a classical unsupervised machine learning technique. It has various applications in criminal justice, automated resume processing, bank...
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Spatial Distribution of Seismocardiographic Signal Clustering
Seismocardiographic (SCG) signal clustering was extensively investigated in 15 healthy male subjects using four different clustering methods to find...
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Infrared image segmentation for circuit board based on active contour and fuzzy clustering
Fault diagnosis for printed circuit board can be achieved based on the infrared image, and how to accurately extract the heated regions in an...
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Enterprise data security storage integrating blockchain and artificial intelligence technology in property and resource risk management
Enterprise data security is a critical concern for businesses, especially when it comes to storing sensitive information related to property and...
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Consistency regularization for deep semi-supervised clustering with pairwise constraints
Due to its powerful learning capabilities for high-dimensional and complex data, deep semi-supervised clustering algorithms often outperform...
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RETRACTED ARTICLE: Features optimization selection in hidden layers of deep learning based on graph clustering
As it is widely known, big data can comprehensively describe the inherent laws governing various phenomena. However, the effective and efficient...
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An energy efficient Swan Intelligent based Clustering Technique (SICT) with fuzzy based secure routing protocol in IoT
Internet of Things (IoT) is the collection of physical objects which consists of integrated technologies to sense, interact and collaborate with...
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Approximately orthogonal nonnegative Tucker decomposition for flexible multiway clustering
High-order tensor data are prevalent in real-world applications, and multiway clustering is one of the most important techniques for exploratory data...
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A Comprehensive Review of the Firefly Algorithms for Data Clustering
Separating a given data set into groups (clusters) based on their natural similar characteristics is one of the main concerns in data clustering. A...
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Quantum K-means clustering method for detecting heart disease using quantum circuit approach
The development of noisy intermediate- scale quantum computers is expected to signify the potential advantages of quantum computing over classical...
