Search Results - Robust clustering algorithm

A robust hierarchical clustering algorithm for automatic identification of clusters: A robust hierarchical clustering algorithm for by Long, Jianwu, Wang, Qiang, Liu, Luping

“…Aggregation-based hierarchical clustering algorithms are widely used in data analysis due to their robust clustering performance…”
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Enhancing MESSL algorithm with robust clustering based on Student's t-distribution by Zohny, Z.Y, Naqvi, S.M, Chambers, J.A

“…The model-based expectation maximisation source separation and localisation (MESSL) algorithm is enhanced through the integration of robust clustering based on the Student's t-distribution…”
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A neighborhood-based robust clustering algorithm using Apollonius function kernel by Pourbahrami, Shahin

“…Density Peak Clustering (DPC) is a useful algorithm for grouping data points based on their closeness and density…”
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Robust clustering algorithm: The use of soft trimming approach by Taheri, Sona, Bagirov, Adil M., Sultanova, Nargiz, Ordin, Burak

“… The majority of conventional clustering algorithms are sensitive to noise and outliers. Robust clustering algorithms often overcome difficulties associated with noise and outliers and find true cluster structures…”
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Comments on "A Robust Fuzzy Local Information C-Means Clustering Algorithm" by Celik, T., Hwee Kuan Lee

“…In a recent paper, Krinidis and Chatzis proposed a variation of fuzzy c-means algorithm for image clustering…”
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A robust clustering algorithm based on the identification of core points and KNN kernel density estimation by Zhou, Zhou, Si, Gangquan, Sun, Haodong, Qu, Kai, Hou, Weicheng

“…Density peaks clustering (DPC) has been proved to be an effective clustering method and applied to many scientific fields…”
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A robust competitive clustering algorithm with applications in computer vision by Frigui, H., Krishnapuram, R.

“… The proposed robust competitive agglomeration (RCA) algorithm starts with a large number of clusters to reduce the sensitivity to initialization, and determines the actual number of clusters by a process of competitive agglomeration…”
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A robust clustering algorithm based on weighted optimization of fuzzy feature difference using shadow sets by Su, Xiao, Yu, Bin, Liu, Yunlong

“… We introduce a novel algorithm—robust clustering algorithm based on weighted optimization of fuzzy feature difference using shadow sets (RWFS…”
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Robust fuzzy c-means clustering algorithm with adaptive spatial & intensity constraint and membership linking for noise image segmentation by Wang, Qingsheng, Wang, Xiaopeng, Fang, Chao, Yang, Wenting

“…The fuzzy C-means (FCM) clustering method is proven to be an efficient method to segment images…”
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Inline high-bandwidth network analysis using a robust stream clustering algorithm by Noferesti, Morteza, Jalili, Rasool

“… such as incremental learning, inline processing, and outlier handling. This study proposes an inline high-bandwidth network stream clustering algorithm designed to incrementally…”
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A Robust k-Means Clustering Algorithm Based on Observation Point Mechanism by Azhar, Muhammad, Qin, Honglian, Jin, Yi, He, Yulin, Zhang, Xiaoliang, Huang, Joshua Zhexue

“…The k-means algorithm is sensitive to the outliers. In this paper, we propose a robust two-stage k-means clustering algorithm based on the observation point…”
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A robust EM clustering algorithm for Gaussian mixture models by Yang, Miin-Shen, Lai, Chien-Yo, Lin, Chih-Ying

“… To resolve these drawbacks of the EM, we develop a robust EM clustering algorithm for Gaussian mixture models, first creating a new way to solve these initialization problems…”
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A robust clustering algorithm for analysis of composition-dependent organic aerosol thermal desorption measurements by Li, Ziyue, D'Ambro, Emma L., Schobesberger, Siegfried, Gaston, Cassandra J., Lopez-Hilfiker, Felipe D., Liu, Jiumeng, Shilling, John E., Thornton, Joel A., Cappa, Christopher D.

“… Here, we developed an algorithm for clustering mass spectra, the noise-sorted scanning clustering (NSSC…”
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Consistency Clustering: A Robust Algorithm for Group-wise Registration, Segmentation and Automatic Atlas Construction in Diffusion MRI by Ziyan, Ulas, Sabuncu, Mert R., Grimson, W. Eric L., Westin, Carl-Fredrik

“…We propose an integrated registration and clustering algorithm, called “consistency clustering…”
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A robust clustering algorithm using spatial fuzzy C-means for brain MR images by Alruwaili, Madallah, Siddiqi, Muhammad Hameed, Javed, Muhammad Arshad

“… In medical images, a well-known clustering approach like Fuzzy C-Means widely used for segmentation…”
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An automated robust algorithm for clustering multivariate data by Vishwakarma, Gajendra K., Paul, Chinmoy, Hadi, Ali S., Elsawah, A.M.

“…) map are widely used clustering algorithms. The practice demonstrated that these clustering algorithms have some significant limitations and drawbacks…”
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A robust clustering algorithm for identifying problematic samples in genome-wide association studies by Bellenguez, Céline, Strange, Amy, Freeman, Colin, Donnelly, Peter, Spencer, Chris C.A.

“… practice to remove individuals whose genome-wide data differ from the sample at large. Here we describe a simple, but robust, statistical algorithm to identify samples with atypical summaries…”
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A robust clustering algorithm for analysis of composition-dependent organic aerosol thermal desorption measurements by Li, Ziyue, D'Ambro, Emma L., Schobesberger, Siegfried, Gaston, Cassandra J., Lopez-Hilfiker, Felipe D., Liu, Jiumeng, Shilling, John E., Thornton, Joel A., Cappa, Christopher D.

“… Here, we developed an algorithm for clustering mass spectra, the noise-sorted scanning clustering (NSSC…”
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Rock: A robust clustering algorithm for categorical attributes by Guha, Sudipto, Rastogi, Rajeev, Shim, Kyuseok

“… We develop a robust hierarchical clustering algorithm ROCK that employs links…”
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A robust hierarchical clustering algorithm for automatic identification of clusters by Long, Jianwu, Wang, Qiang, Liu, Luping

“…Aggregation-based hierarchical clustering algorithms are widely used in data analysis due to their robust clustering performance…”
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