Search Results - "Clustering Algorithm"

Construction of Student Information Management System Based on Data Mining and Clustering Algorithm by Yin, XueHong

“… First, the general situation of genetic algorithm and fuzzy genetic algorithm is introduced, and then, an improved genetic fuzzy clustering algorithm is proposed…”
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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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MMCo-Clus - An Evolutionary Co-clustering Algorithm for Gene Selection by Cui, Laizhong, Acharya, Sudipta, Mishra, Sumit, Pan, Yi, Huang, Joshua Zhexue

“… Moreover, the advent of multi-view learning shows that the subjects of a data set can be interpreted in many ways…”
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Quantum spectral clustering algorithm for unsupervised learning by Li, Qingyu, Huang, Yuhan, Jin, Shan, Hou, Xiaokai, Wang, Xiaoting

“…Clustering is one of the most crucial problems in unsupervised learning, and the well-known k -means algorithm can be implemented on a quantum computer with a…”
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Fuzzy C-Means clustering algorithm for data with unequal cluster sizes and contaminated with noise and outliers: Review and development by Askari, Salar

“… Clustering algorithms aim at finding dense regions of data based on similarities and dissimilarities of data points…”
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Quantification of Spatial Ventilation Defect Sparsity in Hyperpolarized Gas Magnetic Resonance Imaging of Lungs Utilizing a Three‐Dimensional Clustering Algorithm by García Delgado, Gabriela María, Shammi, Ummul Afia, Ruppel, Mia R., Altes, Talissa A., Mugler, John P., Meyer, Craig H., Qing, Kun, Lange, Eduard E., Mata, Jaime, Ruset, Iulian C., Hersman, F. W., Thomen, Robert P.

“…‐gas lung MR images. The study involved a total of 56 subjects: 14 asthmatics (age mean ± sd = 45.1 ± 18.9), 25 COPD subjects (age = 60.6 ± 10.4), and 17 CF subjects…”
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Development of an effective clustering algorithm for older fallers by Goh, Choon-Hian, Wong, Kam Kang, Tan, Maw Pin, Ng, Siew-Cheok, Chuah, Yea Dat, Kwan, Ban-Hoe

“… Data from the Malaysian Elders Longitudinal Research (MELoR), comprising 1411 subjects aged…”
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Analysis of College Students’ Ability to Improve Innovation and Entrepreneurship Based on Constrained Clustering Algorithm by Shi, Chen

“…With the expansion of college enrollment, college graduates have continued to expand, and the employment situation has become more and more severe. As a new…”
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Development of an effective clustering algorithm for older fallers by Choon-Hian Goh, Kam Kang Wong, Maw Pin Tan, Siew-Cheok Ng, Yea Dat Chuah, Ban-Hoe Kwan

“… Data from the Malaysian Elders Longitudinal Research (MELoR), comprising 1411 subjects aged…”
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Segmentation of lung parenchyma in CT images using CNN trained with the clustering algorithm generated dataset by Xu, Mingjie, Qi, Shouliang, Yue, Yong, Teng, Yueyang, Xu, Lisheng, Yao, Yudong, Qian, Wei

“… Methods We proposed to segment lung parenchyma using a convolutional neural network (CNN) model. To reduce the workload of manually preparing the dataset for training the CNN, one clustering algorithm based method is proposed firstly…”
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Density-sensitive fuzzy kernel maximum entropy clustering algorithm by Tao, Xinmin, Wang, Ruotong, Chang, Rui, Li, Chenxi

“…Maximum entropy clustering algorithm (ME) has lately received great attention for its high performance in large-scale data clustering and simplicity in implementation…”
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Distribution network line loss analysis method based on improved clustering algorithm and isolated forest algorithm by Li, Jian, Li, Shuoyu, Zhao, Wen, Li, Jiajie, Zhang, Ke, Jiang, Zetao

“… To improve the accuracy of filling missing values in power load data, particle swarm optimization algorithm is proposed to optimize the clustering center of the clustering algorithm…”
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Application of k-means clustering algorithm to improve effectiveness of the results recommended by journal recommender system by Vara, Narjes, Mirzabeigi, Mahdieh, Sotudeh, Hajar, Fakhrahmad, Seyed Mostafa

“…This study investigates to evaluate feasibility of k-means clustering algorithm in order to improve effectiveness of the results recommended by RICEST Journal Finder System…”
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PAM clustering algorithm based on mutual information matrix for ATR-FTIR spectral feature selection and disease diagnosis by Condino, Francesca, Crocco, Maria Caterina, Guzzi, Rita

“…The ATR-FTIR spectral data represent a valuable source of information in a wide range of pathologies, including neurological disorders, and can be used for…”
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A portable clustering algorithm based on compact neighbors for face tagging by Pei, Shenfei, Zhang, Yuze, Wang, Rong, Nie, Feiping

“… To this end, a Portable clustering algorithm based on Compact Neighbors called PCN is proposed…”
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MRI Imaging Omics and Risk Factors Analysis of PWMD in Premature Infants Based on Fuzzy Clustering Algorithm by Wang, Xiaofei, Hao, Yuewen, Sun, Huan, Chen, Chao

“…) in premature infants using the fuzzy c-means clustering algorithm (FCM) is explored, and the influencing factors are further clarified…”
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A self-adjusting ant colony clustering algorithm for ECG arrhythmia classification based on a correction mechanism by Li, Ning, Liu, Linyue, Yang, Zhengqiang, Qin, Shuguang

“… Not only the classification within subjects, but also the classification among subjects.•This paper improved the ant colony clustering algorithm by introducing a correction mechanism to correct outlier points to improve model classification accuracy…”
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Research and Application of Improved Clustering Algorithm in Retail Customer Classification by Fang, Chu, Liu, Haiming

“… The K-means algorithm is one of the essential clustering algorithms. It is a kind of clustering algorithm based on the partitioning method…”
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A Quasi-Optimal Clustering Algorithm for MIMO-NOMA Downlink Systems by Saggese, Fabio, Moretti, Marco, Abrardo, Andrea

“… subject to a rate constraint for each user. Since the joint optimization problem is intractable, we split it in three sub-problems…”
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A clustering algorithm for multidimensional time series devices based on feature extraction by Li, Lei, Zhang, Yong, Zheng, Yiming, An, Gaoxiang, Guo, Feng, You, Ziyi

“… for monitoring, which greatly improves the sensitivity of fault detection. Therefore, this paper designs a multidimensional time series device clustering algorithm based on feature extraction…”
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