Search Results - clustering algorithm

Image Segmentation Using K -means Clustering Algorithm and Subtractive Clustering Algorithm by Dhanachandra, Nameirakpam, Manglem, Khumanthem, Chanu, Yambem Jina

“… There are different methods and one of the most popular methods is k-means clustering algorithm. K -means clustering algorithm is an unsupervised algorithm and it is used to segment the interest area from the background…”
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CADENCE: Clustering Algorithm─Density-Based Exploration and Novelty Clustering with Efficiency by Chen, Lexin, Roe, Daniel R, Miranda-Quintana, Ramón Alain

“… patterns, among other applications. A fundamental challenge in current clustering methods lies in how similarities among objects are accessed…”
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A Novel Adaptive Fuzzy Local Information C -Means Clustering Algorithm for Remotely Sensed Imagery Classification by Zhang, Hua, Wang, Qunming, Shi, Wenzhong, Hao, Ming

“…This paper presents a novel adaptive fuzzy local information c-means (ADFLICM) clustering approach for remotely sensed imagery classification by incorporating the local spatial and gray level information constraints…”
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Unsupervised Hyperspectral Microscopic Image Segmentation Using Deep Embedded Clustering Algorithm by Ajay, P., Nagaraj, B., Kumar, R. Arun, Huang, Ruihang, Ananthi, P.

“… An intuitive chemical species map for a lithium ore sample is produced using k-means clustering…”
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CACONET: Ant Colony Optimization (ACO) Based Clustering Algorithm for VANET by Aadil, Farhan, Bajwa, Khalid Bashir, Khan, Salabat, Chaudary, Nadeem Majeed, Akram, Adeel

“… The lifetime of clusters and number of CHs determines the efficiency of network. In this paper a Clustering algorithm based on Ant Colony Optimization (ACO) for VANETs (CACONET) is proposed…”
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A Novel Evolutionary Kernel Intuitionistic Fuzzy C -means Clustering Algorithm by Lin, Kuo-Ping

“…This study proposes a novel evolutionary kernel intuitionistic fuzzy c-means clustering algorithm (EKIFCM…”
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Double-suppressed possibilistic fuzzy Gustafson–Kessel clustering algorithm by Yu, Haiyan, Jiang, Lerong, Fan, Jiulun, Lan, Rong

“…Possibilistic fuzzy c-means clustering (PFCM) is an unsupervised hybrid clustering algorithm, which can partly inherit the stability of fuzzy c-means clustering (FCM…”
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An enhanced principal component analysis method with Savitzky–Golay filter and clustering algorithm for sensor fault detection and diagnosis by Wen, Shuqing, Zhang, Weirong, Sun, Yifu, Li, Zhenxi, Huang, Boju, Bian, Shouguo, Zhao, Lin, Wang, Yan

“…) method using the Savitzky–Golay (SG) filter and density-based spatial clustering of applications with noise (DBSCAN) algorithm…”
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Self-paced Learning for K-means Clustering Algorithm by Yu, Hao, Wen, Guoqiu, Gan, Jiangzhang, Zheng, Wei, Lei, Cong

“…•Propose a novel clustering algorithm by adding the self-paced regularization factor…”
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An efficient k′-means clustering algorithm by Žalik, Krista Rizman

“…This paper introduces k′-means algorithm that performs correct clustering without pre-assigning the exact number of clusters…”
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IoVSSA: Efficient Mobility Aware Clustering Algorithm in Internet of Vehicles using Sparrow Search Algorithm by Salim, Ahmed, Khedr, Ahmed M., Osamy, Walid

“… In this sight, we propose a new clustering algorithm based on the recent nature-inspired meta-heuristic Sparrow Search algorithm for IoV (IoVSSA…”
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MMCo-Clus - An Evolutionary Co-clustering Algorithm for Gene Selection by Cui, Laizhong, Acharya, Sudipta, Mishra, Sumit, Pan, Yi, Huang, Joshua Zhexue

“… Interestingly, a minimal number of existing feature selection algorithms take advantage of the co-clustering method and are designed to consider multi-view data…”
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Gauging- \deltaδ: A Non-Parametric Hierarchical Clustering Algorithm by Yao, Jinli, Pan, Jie, Zeng, Yong

“…The development of a nonparametric and versatile clustering algorithm has been a longstanding challenge in unsupervised learning due to the exploratory nature of the clustering problem…”
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Genie: A new, fast, and outlier-resistant hierarchical clustering algorithm by Gagolewski, Marek, Bartoszuk, Maciej, Cena, Anna

“…•The new algorithm has been tested on 29 benchmark sets.•The clustering quality outperforms the Ward and average linkage criteria…”
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Projected fuzzy c-means clustering algorithm with instance penalty by Wang, Jikui, Wu, Yiwen, Huang, Xueyan, Zhang, Cuihong, Nie, Feiping

“… Traditional clustering algorithms cannot perform well on high-dimensional data, where the clustering task is usually divided into two stages…”
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On the Discrepancy between Kleinberg’s Clustering Axioms and k-Means Clustering Algorithm Behavior by Kłopotek, Mieczysław Alojzy, Kłopotek, Robert Albert

“…) as they relate to the well-known k -mean clustering method. The axioms, as well as a novel variations thereof, are analyzed in Euclidean space…”
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Propedia: a database for protein–peptide identification based on a hybrid clustering algorithm by Martins, Pedro M., Santos, Lucianna H., Mariano, Diego, Queiroz, Felippe C., Bastos, Luana L., Gomes, Isabela de S., Fischer, Pedro H. C., Rocha, Rafael E. O., Silveira, Sabrina A., de Lima, Leonardo H. F., de Magalhães, Mariana T. Q., Oliveira, Maria G. A., de Melo-Minardi, Raquel C.

“…Background Protein–peptide interactions play a fundamental role in a wide variety of biological processes, such as cell signaling, regulatory networks, immune…”
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Validating the Utility of Supervised Clustering Algorithm for Precise [ 11 C]DPA-713 PET Brain Image Quantification by Lee, Youjin, Nguyen, Thanh D, Du, Yong, Coughlin, Jennifer M, Zein, Sara A, Karakatsanis, Nicolas A, Nehmeh, Sadek, Pomper, Martin G, Gauthier, Susan A, Kang, Yeona

“… To address this challenge, a supervised clustering algorithm (SVCA) has been introduced as an alternative…”
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Multi-view neutrosophic c-means clustering algorithms by Liu, Zhe, Qiu, Haoye, Deveci, Muhammet, Pedrycz, Witold, Siarry, Patrick

“… However, existing multi-view clustering algorithms still encounter challenges since most multi-view data do not exhibit clear cluster boundaries, meaning cluster boundaries may locally overlap…”
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k-Means NANI: An Improved Clustering Algorithm for Molecular Dynamics Simulations by Chen, Lexin, Roe, Daniel R, Kochert, Matthew, Simmerling, Carlos, Miranda-Quintana, Ramón Alain

“…One of the key challenges of -means clustering is the seed selection or the initial centroid estimation since the clustering result depends heavily on this choice…”
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