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   Articles with "clustering using" as a keyword



Improving a Centroid-Based Clustering by Using Suitable Centroids from Another Clustering

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recommendations! Published in 2020 at "Journal of Classification"

DOI: 10.1007/s00357-018-9296-4

Abstract: Fast centroid-based clustering algorithms such as k-means usually converge to a local optimum. In this work, we propose a method for constructing a better clustering from two such suboptimal clustering solutions based on the fact… read more here.

Keywords: based clustering; using suitable; improving centroid; clustering using ... See more keywords

Fuzzy clustering using multiple Gaussian kernels with optimized-parameters

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recommendations! Published in 2018 at "Fuzzy Optimization and Decision Making"

DOI: 10.1007/s10700-017-9268-x

Abstract: In this paper, we propose a new kernel-based fuzzy clustering algorithm which tries to find the best clustering results using optimal parameters of each kernel in each cluster. It is known that data with nonlinear… read more here.

Keywords: fuzzy clustering; kernel based; based fuzzy; single kernel ... See more keywords

Density peaks clustering using geodesic distances

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recommendations! Published in 2018 at "International Journal of Machine Learning and Cybernetics"

DOI: 10.1007/s13042-017-0648-x

Abstract: Density peaks clustering (DPC) algorithm is a novel clustering algorithm based on density. It needs neither iterative process nor more parameters. However, it cannot effectively group data with arbitrary shapes, or multi-manifold structures. To handle… read more here.

Keywords: using geodesic; density; peaks clustering; geodesic distances ... See more keywords

Genetic Similarity Clustering Using the UK Biobank as a Reference Dataset

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recommendations! Published in 2025 at "Twin Research and Human Genetics"

DOI: 10.1017/thg.2025.15

Abstract: Abstract Incorporating genetic data from diverse populations is crucial for understanding genetic contributions to diseases and ensuring health equity in healthcare practices. However, existing reference panels either capture a limited number of populations or have… read more here.

Keywords: genetically similar; 1000 genomes; reference; genetic similarity ... See more keywords

Energy efficient multi hop clustering using Artificial Bee Colony metaheuristic in WSN

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recommendations! Published in 2025 at "Scientific Reports"

DOI: 10.1038/s41598-025-12321-y

Abstract: Wireless sensor networks (WSNs) have garnered considerable interest for their ability to gather and transmit data in applications including environmental monitoring, industrial automation, and military surveillance. The constrained energy supply of sensors, frequently dependent on… read more here.

Keywords: artificial bee; bee colony; energy; energy efficient ... See more keywords

F1-ECAC: Enhanced Evolutionary Clustering Using an Ensemble of Supervised Classifiers

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recommendations! Published in 2021 at "IEEE Access"

DOI: 10.1109/access.2021.3116092

Abstract: Clustering is an unsupervised learning technique used in data mining for finding groups with increased object similarity within but not between them. However, the absence of a-priori knowledge on the optimal clustering criterion, and the… read more here.

Keywords: enhanced evolutionary; evolutionary clustering; ecac enhanced; clustering using ... See more keywords

Enhanced Approach for Agglomerative Clustering Using Topological Relations

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recommendations! Published in 2023 at "IEEE Access"

DOI: 10.1109/access.2023.3252374

Abstract: Spatial data clustering has long been used to facilitate the knowledge discovery process. Several approaches have been proposed in the literature for detecting and understanding hidden patterns. These approaches are based on different perspectives and… read more here.

Keywords: topological relations; clustering using; enhanced approach; agglomerative clustering ... See more keywords

Clustering using unsupervised machine learning to stratify the risk of immune‐related liver injury

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recommendations! Published in 2022 at "Journal of Gastroenterology and Hepatology"

DOI: 10.1111/jgh.16038

Abstract: Immune‐related liver injury (liver‐irAE) is a clinical problem with a potentially poor prognosis. read more here.

Keywords: immune related; liver injury; related liver; clustering using ... See more keywords

Clustering using kernel entropy principal component analysis and variable kernel estimator

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recommendations! Published in 2021 at "International Journal of Electrical and Computer Engineering"

DOI: 10.11591/ijece.v11i3.pp2109-2119

Abstract: Clustering as unsupervised learning method is the mission of dividing data objects into clusters with common characteristics. In the present paper, we introduce an enhanced technique of the existing EPCA data transformation method. Incorporating the… read more here.

Keywords: kernel entropy; entropy; using kernel; entropy principal ... See more keywords

Grid-Based Clustering Using Boundary Detection

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recommendations! Published in 2022 at "Entropy"

DOI: 10.3390/e24111606

Abstract: Clustering can be divided into five categories: partitioning, hierarchical, model-based, density-based, and grid-based algorithms. Among them, grid-based clustering is highly efficient in handling spatial data. However, the traditional grid-based clustering algorithms still face many problems:… read more here.

Keywords: clustering using; boundary detection; based clustering; grid based ... See more keywords