Search Results - Clustering—Algorithms General Terms Algorithms

Clustering algorithms: A comparative approach by Rodriguez, Mayra Z., Comin, Cesar H., Casanova, Dalcimar, Bruno, Odemir M., Amancio, Diego R., Costa, Luciano da F., Rodrigues, Francisco A.

“…Many real-world systems can be studied in terms of pattern recognition tasks, so that proper use (and understanding…”
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Comprehensive survey on hierarchical clustering algorithms and the recent developments by Ran, Xingcheng, Xi, Yue, Lu, Yonggang, Wang, Xiangwen, Lu, Zhenyu

“…Data clustering is a commonly used data processing technique in many fields, which divides objects into different clusters in terms of some similarity measure between data points…”
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A Novel Hybrid Technique of Integrating Gradient-Boosted Machine and Clustering Algorithms for Lithology Classification by Asante-Okyere, Solomon, Shen, Chuanbo, Ziggah, Yao Yevenyo, Rulegeya, Mercy Moses, Zhu, Xiangfeng

“…) to construct a more accurate gradient-boosted machine (GBM) lithology model. The findings of the study showed that improved performance in terms of classification accuracy rate was achieved by the K -means-based GBM classifiers…”
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Clustering algorithms based on correlation coefficients for probabilistic linguistic term sets by Lin, Mingwei, Wang, Huibing, Xu, Zeshui, Yao, Zhiqiang, Huang, Jinli

“… Therefore, some correlation coefficient formulas are put forward to measure the relationship between two PLTSs and then they are utilized to develop two novel clustering algorithms to group PLTSs in this paper…”
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Detecting Variability in Massive Astronomical Time-series Data. III. Variable Candidates in the SuperWASP DR1 Found by Multiple Clustering Algorithms and a Consensus Clustering Method by Shin, Min-Su, Chang, Seo-Won, Yi, Hahn, Kim, Dae-Won, Kim, Myung-Jin, Byun, Yong-Ik

“… Variations in the light curves are described in terms of nine variability features that are complementary to each…”
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A new hybrid optimization approach using PSO, Nelder-Mead Simplex and Kmeans clustering algorithms for 1D Full Waveform Inversion by Aguiar Nascimento, Rutinaldo, Neto, Álvaro Barroca, Bezerra, Yuri Shalom de Freitas, do Nascimento, Hugo Alexandre Dantas, Lucena, Liacir dos Santos, de Freitas, Joaquim Elias

“…). Therefore, we developed a two-phase hybrid optimization algorithm based on DFO algorithms…”
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A critical analysis of state-of-the-art metagenomics OTU clustering algorithms by Bhat, Ashaq Hussain, Prabhu, Puniethaa, Balakrishnan, Kalpana

“… Operational taxonomic unit (OTU) clustering algorithms are the important tools to perform taxonomic profiling by grouping 16S rRNA sequence reads into OTU clusters…”
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Computer-Aided Diagnosis of Duchenne Muscular Dystrophy Based on Texture Pattern Recognition on Ultrasound Images Using Unsupervised Clustering Algorithms and Deep Learning by Liao, Ai-Ho, Wang, Chih-Hung, Wang, Chong-Yu, Liu, Hao-Li, Chuang, Ho-Chiao, Tseng, Wei-Jye, Weng, Wen-Chin, Shih, Cheng-Ping, Tsui, Po-Hsiang

“…) was previously explored for the first time. The present study further used clustering algorithms for the texture reconstruction of ultrasound images of DMD data sets…”
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Detecting and analysing the topology of the cosmic web with spatial clustering algorithms I: methods by Kelesis, Dimitrios, Basilakos, Spyros, Papadopoulou Lesta, Vicky, Fotakis, Dimitris, Efstathiou, Andreas

“…ABSTRACT In this paper, we explore the use of spatial clustering algorithms as a new computational approach for modelling the cosmic web…”
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An Approach Towards the Design of Interval Type-3 T-S Fuzzy System by Singh, Dhanjeet, Verma, Nishchal, Ghosh, Ajoy, Malagaudanavar, Appasaheb

“… An IT3 FLS is designed with the baseline of the general type-2 (GT2) FLS in a similar manner as an IT2 FLS was designed from the baseline of type-1 FLS…”
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Robust clustering methods: a unified view by Dave, R.N., Krishnapuram, R.

“…-squares technique, the M estimator, the minimum volume ellipsoid algorithm, cooperative robust estimation, minimization of probability of randomness, and the epsilon contamination model…”
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Comparison of machine learning clustering algorithms for detecting heterogeneity of treatment effect in acute respiratory distress syndrome: A secondary analysis of three randomised controlled trials by Sinha, Pratik, Spicer, Alexandra, Delucchi, Kevin L, McAuley, Daniel F, Calfee, Carolyn S, Churpek, Matthew M

“…). Investigators have sought to identify heterogeneity of treatment effect (HTE) in RCTs using clustering algorithms…”
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General C-means clustering model by Yu, Jian

“… The three main contributions of this paper can be summarized as follows: (1) according to a novel definition of the mean, a unifying generative framework for partitional clustering algorithms, called a general c-means clustering model (GCM…”
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Parameterized Approximation Schemes for Clustering with General Norm Objectives by Abbasi, Fateme, Banerjee, Sandip, Byrka, Jaroslaw, Chalermsook, Parinya, Gadekar, Ameet, Khodamoradi, Kamyar, Marx, Daniel, Sharma, Roohani, Spoerhase, Joachim

“…This paper considers the well-studied algorithmic regime of designing a (1+\epsilon)-approximation algorithm for a k-clustering problem that runs in time f…”
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A seed-extended algorithm for detecting protein complexes based on density and modularity with topological structure and GO annotations by Wang, Rongquan, Wang, Caixia, Sun, Liyan, Liu, Guixia

“… Thus, various computational algorithms have been proposed for protein complex detection…”
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Improved Normalized Cut for Multi-View Clustering by Zhong, Guo, Pun, Chi-Man

“…Spectral clustering (SC) algorithms have been successful in discovering meaningful patterns since they can group arbitrarily shaped data structures…”
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Density-based IFCM along with its interval valued and probabilistic extensions, and a review of intuitionistic fuzzy clustering methods by Varshney, Ayush K., Muhuri, Pranab K., Lohani, Q. M. Danish

“… Most of the c-Means algorithms such as FCM (Fuzzy c-Means), IFCM (Intuitionistic Fuzzy c-Means…”
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Entropy-Rate Clustering: Cluster Analysis via Maximizing a Submodular Function Subject to a Matroid Constraint by Ming-Yu Liu, Tuzel, Oncel, Ramalingam, Srikumar, Chellappa, Rama

“…: the entropy rate of a random walk on a graph and a balancing term. The entropy rate favors formation of compact and homogeneous clusters, while the balancing function…”
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Dual-Strategy Differential Evolution With Affinity Propagation Clustering for Multimodal Optimization Problems by Wang, Zi-Jia, Zhan, Zhi-Hui, Lin, Ying, Yu, Wei-Jie, Yuan, Hua-Qiang, Gu, Tian-Long, Kwong, Sam, Zhang, Jun

“… There are two general goals for solving MMOPs. One is to maintain population diversity so as to locate global optima as many as possible, while the other is to increase the accuracy of the solutions found…”
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Detecting Meaningful Clusters From High-Dimensional Data: A Strongly Consistent Sparse Center-Based Clustering Approach by Chakraborty, Saptarshi, Das, Swagatam

“…In context to high-dimensional clustering, the concept of feature weighting has gained considerable importance over the years to capture the relative degrees…”
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