Výsledky vyhľadávania - Feature selection weighted k-means clustering algorithm

Bi-Partitioned Feature-Weighted K -Means Clustering for Detecting Insurance Fraud Claim Patterns.

Autori: Combert, Francis Kwaku Xie, Shengkun Lawniczak, Anna T.

Zdroj: Mathematics (2227-7390); Feb2025, Vol. 13 Issue 3, p434, 47p

Predmety: INSURANCE crimes, FEATURE selection, FRAUD investigation, MACHINE learning, INSURANCE claims, K-means clustering

Variable feature weighted fuzzy k-means algorithm for high dimensional data.

Autori: Singh, Vikas Verma, Nishchal K.

Zdroj: Multimedia Tools & Applications; Aug2025, Vol. 84 Issue 28, p34331-34348, 18p

Predmety: FUZZY clustering technique, ENTROPY, FEATURE selection, DATA distribution, CLUSTERING algorithms, DATA structures

An optimized SVM-RFE based feature selection and weighted entropy K-means approach for big data clustering in mapreduce.

Autori: Madan, Suman C, Komalavalli Bhatia, Manjot Kaur a ďalší

Zdroj: Multimedia Tools & Applications; Sep2024, Vol. 83 Issue 30, p74233-74254, 22p

Predmety: K-means clustering, SUPPORT vector machines, FEATURE selection, COMPUTATIONAL complexity, ENTROPY, BIG data

Modified K-means clustering algorithms for feature selection

Autori: Mohammed, Noman (Computer Science) McLeod, Bob (Electrical and Computer Engineering) Ferens, Ken a ďalší

Témy: Modified K-means, K-means, Feature selection, master thesis

URL: http://hdl.handle.net/1993/37434

Risk assessment of corn borer based on feature optimization and weighted spatial clustering: a case study in Shandong Province, China.

Autori: Zuo, Yanan Ji, Min Yang, Jiutao a ďalší

Zdroj: Scientific Reports; 8/4/2025, Vol. 15 Issue 1, p1-21, 21p

Predmety: RISK assessment, EUROPEAN corn borer, MACHINE learning, GEOGRAPHIC spatial analysis, AGRICULTURAL pests, TEMPERATURE effect, PROVINCES, FEATURE selection

Geografický termín: SHANDONG Sheng (China), CHINA

Optimization configuration of flexible interconnection device DG based on improved E-C-Kmeans and GA under SOP support

Autori: Zhichun Yang Lei Yang Junxiong He a ďalší

Zdroj: Systems and Soft Computing, Vol 7, Iss , Pp 200414- (2025)

Predmety: Flexible interconnection devices, Distributed power supply, Genetic algorithm, Feature selection weighted k-means clustering algorithm, Optimization configuration, Information technology, T58.5-58.64, Electronic computers. Computer science, QA75.5-76.95

Popis súboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2772941925002339; https://doaj.org/toc/2772-9419

Prístupová URL adresa: https://doaj.org/article/d89e8cc1b3ca4428b16dc72fc380d376

Student behavior patterns in vocational education big data based on clustering algorithm.

Autori: Jin, Jing

Zdroj: Discover Artificial Intelligence; 8/1/2025, Vol. 5 Issue 1, p1-17, 17p

Predmety: VOCATIONAL education, BIG data, EDUCATIONAL outcomes, DATA analysis, K-means clustering, INDIVIDUALIZED instruction, PSYCHOLOGY of students, CLUSTERING algorithms

Feature Selection Combining Artificial Bee Colony with [K-means] Clustering

Autori: SUN Lin, LIU Menghan, XUE Zhan’ao

Zdroj: Jisuanji kexue yu tansuo, Vol 18, Iss 1, Pp 93-110 (2024)

Predmety: feature selection, artificial bee colony, [k-means] clustering, feature importance, Electronic computers. Computer science, QA75.5-76.95

Popis súboru: electronic resource

Relation: http://fcst.ceaj.org/fileup/1673-9418/PDF/2212075.pdf; https://doaj.org/toc/1673-9418

Prístupová URL adresa: https://doaj.org/article/14b6383195b249249806b45836ca6485

Self-Weighted Multi-View k-means Algorithm

Autori: LIN Hechuan, XU Huiying, ZHU Xinzhong, HUANG Xiao, LIU Ziyang

Zdroj: Jisuanji gongcheng, Vol 51, Iss 8, Pp 141-150 (2025)

Predmety: unsupervised learning, k-means, multi-view clustering, ?2, 1-norm, self-weighting, Computer engineering. Computer hardware, TK7885-7895, Computer software, QA76.75-76.765

Popis súboru: electronic resource

Relation: https://www.ecice06.com/fileup/1000-3428/PDF/jsjgc-51-8-141.pdf; https://doaj.org/toc/1000-3428

Prístupová URL adresa: https://doaj.org/article/e5cc0778679745e08cf192129b28e3e6

SVM-RFE enabled feature selection with DMN based centroid update model for incremental data clustering using COVID-19.

Autori: M, Robinson Joel G, Manikandan G, Bhuvaneswari a ďalší

Zdroj: Computer Methods in Biomechanics & Biomedical Engineering; Aug2024, Vol. 27 Issue 10, p1224-1238, 15p

Predmety: FEATURE selection, CENTROID, K-means clustering, SUPPORT vector machines, COVID-19, FUZZY clustering technique

A population spatialization method based on the integration of feature selection and an improved random forest model.

Autori: Zhao, Zhen Guo, Hongmei Jiang, Xueli a ďalší

Zdroj: PLoS ONE; 4/3/2025, Vol. 20 Issue 4, p1-25, 25p

Predmety: CLUSTERING algorithms, RANDOM forest algorithms, FEATURE selection, URBAN planning, EMERGENCY management

Multi-view clustering algorithm based on sparse regression and structure learning.

Autori: Li, Caixia Kong, Guoping Lin, Xiaolin

Zdroj: Cluster Computing; Oct2025, Vol. 28 Issue 9, p1-17, 17p

Predmety: BIG data, CLUSTERING algorithms, ROBUST statistics, STRUCTURAL frame models, DIMENSIONAL reduction algorithms, SPARSE approximations, FEATURE selection

EODA: A three-stage efficient outlier detection approach using Boruta-RF feature selection and enhanced KNN-based clustering algorithm.

Autori: Kumar, Sunil Varshney, Sudeep Jain, Usha a ďalší

Zdroj: PLoS ONE; 5/30/2025, Vol. 20 Issue 5, p1-25, 25p

Predmety: CLUSTERING algorithms, OUTLIER detection, FEATURE selection, K-nearest neighbor classification, MACHINE learning, DEEP learning

Variable Dimensional Multiobjective Lifetime Constrained Quantum PSO With Reinforcement Learning for High‐Dimensional Patient Data Clustering.

Autori: Guo, Chen Tang, Heng Zhong, Huifen a ďalší

Zdroj: International Journal of Intelligent Systems; 7/22/2025, Vol. 2025, p1-22, 22p

Predmety: DIMENSIONAL reduction algorithms, REINFORCEMENT learning, FEATURE selection, CLUSTERING algorithms, DATA structures, MULTI-objective optimization, PARTICLE swarm optimization

A TWO-LAYER CLASSIFICATION MODEL ON HUMAN ACTIVITY RECOGNITION BASED ON CLUSTERING ALGORITHM AND FEATURE SELECTION.

Autori: LIU, LIJUE WANG, KEWEI LI, YI a ďalší

Zdroj: Journal of Mechanics in Medicine & Biology; Dec2022, Vol. 22 Issue 10, p1-18, 18p

Predmety: HUMAN activity recognition, FEATURE selection, ALGORITHMS, K-means clustering, WEARABLE technology

Prediction of induction chemotherapy efficacy in patients with locally advanced nasopharyngeal carcinoma using habitat subregions derived from multi-modal MRI radiomics.

Autori: Pan, Mulan Lu, Lu Mu, Xingyu a ďalší

Zdroj: Frontiers in Oncology; 2025, p1-13, 13p

Predmety: MACHINE learning, CLINICAL decision support systems, INDUCTION chemotherapy, K-means clustering, FEATURE selection

Tumour habitat-based radiomics analysis enhances the ability to predict prostate cancer aggressiveness with biparametric MRI-derived features.

Autori: Li, Mengjuan Ding, Ning Yin, Shengnan a ďalší

Zdroj: Frontiers in Oncology; 2025, p1-10, 10p

Predmety: RECEIVER operating characteristic curves, K-means clustering, IMAGE segmentation, FEATURE selection, RADIOMICS

Geochemical Anomaly Detection and Pattern Recognition: A Combined Study of the Apriori Algorithm, Principal Component Analysis, and Spectral Clustering.

Autori: Hajihosseinlou, Mahsa Maghsoudi, Abbas Ghezelbash, Reza

Zdroj: Minerals (2075-163X); Dec2024, Vol. 14 Issue 12, p1202, 17p

Predmety: CLUSTERING algorithms, PATTERN recognition systems, APRIORI algorithm, PRINCIPAL components analysis, FEATURE selection

结合人工蜂群与K-means 聚类的特征选择. (Chinese)

Alternate Title: Feature Selection Combining Artificial Bee Colony with K-means Clustering. (English)

Autori: 孙林 刘梦含 薛占熬

Zdroj: Journal of Frontiers of Computer Science & Technology; Jan2024, Vol. 18 Issue 1, p93-110, 18p

Novel dynamic k-modes clustering of categorical and non categorical dataset with optimized genetic algorithm based feature selection.

Autori: Suryanarayana, G. Prakash K, LNC Mahesh, P. C. Senthil a ďalší

Zdroj: Multimedia Tools & Applications; Jul2022, Vol. 81 Issue 17, p24399-24418, 20p

Predmety: GENETIC algorithms, FEATURE selection, PARTICLE swarm optimization, METAHEURISTIC algorithms, CLUSTER analysis (Statistics), MATHEMATICAL optimization