Search Results - "k-means clustering algorithms"

Comparison of Decision Tree and K-Means Clustering Algorithms to Determine Awards for Customer Loyalty

Authors: Bagus Tri Mahardika Donnie Varyasetya Prastowo

Source: Journal TIFDA (Technology Information and Data Analytic). 2:24-33

A Comparative Study of K-means Clustering Algorithms Using Euclidean and Manhattan Distance for Climate Data

Authors: Bakhshan Hamad

Source: المجلة العراقية للعلوم الاحصائية, Vol 22, Iss 1, Pp 47-58 (2025)

Subject Terms: canopy, farthest, random, euclidean and manhattan distance, k-means algorithms, k-means++, Probabilities. Mathematical statistics, QA273-280

Access URL: https://doaj.org/article/63731ce324da4b91bffad6f52d10eb5d

Landslide susceptibility mapping using frequency ratio, logistic regression and K-means clustering algorithms: a case study in Inje, South Korea

Authors: Samuel Alalade Chann Seng Duongdarashy Chheun et al.

Source: Environmental Earth Sciences. 84

Identification of Different Medicinal Plants / Raw materials through PCA Using Support Vector Machine and K-Means Clustering Algorithms

Authors: Dr.Vikas Singhal Nitish Kumar Kushwaha Parth Bhardwaj

Source: International Research Journal of Computer Science. 11:477-482

Subject Terms: 15. Life on land

Random Forest and K-Means Clustering Algorithms to Classify of 18F-Florbetapir Brain PET

Authors: Alexa Bootherstone Louis Lee Liam Cristant et al.

Source: 2024 IEEE 54th International Symposium on Multiple-Valued Logic (ISMVL). :167-171

Improving the quality of handwritten image segmentation using k-means clustering algorithms with spatial filters

Authors: Muhammad Munsarif Muhammad Saman

Source: Computer Science and Information Technologies. 5:32-39

Critical Factors Affecting Fast-Track Construction Management for Infrastructure Projects: Validated Scale Development and K-Means Clustering Algorithms Insights

Authors: Jerick A. Lising Dante L. Silva

Source: 2024 8th International Conference on Management Engineering, Software Engineering and Service Sciences (ICMSS). :114-121

K-Means Clustering algorithms in Urban studies: A Review of Unsupervised Machine Learning techniques

Authors: Bochra hadj kilani Najem Dhaher

Modified K-Means Clustering Algorithms for Feature Selection

Authors: Ayeasha Akhter Ken Ferens

Source: 2023 Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE). :461-469

K-means clustering algorithms: A comprehensive review, variants analysis, and advances in the era of big data

Authors: Abiodun M. Ikotun Absalom E. Ezugwu Laith Abualigah et al.

Source: Information Sciences. 622:178-210

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Analysis of Wagon Repair Data Using SOM and K-Means Clustering Algorithms

Authors: Gunher, Ender Fidan, Mehmet Akbayır, Ömür

Source: Issue: 21168-177
Demiryolu Mühendisliği
Railway Engineering

Subject Terms: Signal Processing, Sinyal İşleme, Transportation Engineering, Ulaştırma Mühendisliği, Vagon arızaları, Veri analizi, Kümeleme yöntemleri, Kendini organize eden haritalar, K-ortalama, Wagon failures, Data analysis, Clustering methods, Self-organizing maps, K-means

File Description: application/pdf

Access URL: https://dergipark.org.tr/tr/pub/demiryolu/issue/90151/1529040

Enhanced K-Means Clustering Algorithms in Pattern Detection of Human Freedom Index Dataset

Authors: F.Mohamed Ilyas S. Silvia Priscila

Source: Advances in Computational Intelligence and Robotics ISBN: 9798369359518

Data Mining Methods: K-Means Clustering Algorithms

Authors: Mohammad Annas Siti Norida Wahab

Source: International Journal of Cyber and IT Service Management. 3:40-47

K-Means Clustering algorithms in Urban studies: A Review of Unsupervised Machine Learning techniques

Authors: bochra hadj kilani

Subject Terms: Architecture, Social and Behavioral Sciences, Urban Studies and Planning, Urban, Community and Regional Planning

CPI-model-based analysis of sparse k-means clustering algorithms

Authors: Kazuo Aoyama Kazumi Saito Tetsuo Ikeda

Source: International Journal of Data Science and Analytics. 12:229-248

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: https://dblp.uni-trier.de/db/journals/ijdsa/ijdsa12.html#AoyamaSI21
https://link.springer.com/article/10.1007/s41060-021-00270-4

Comprehensive Review of K-Means Clustering Algorithms

Authors: Eric U. Oti F. C. Eze Michael O. Olusola et al.

Source: International Journal of Advances in Scientific Research and Engineering. :64-69

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 0101 mathematics, 01 natural sciences

Access URL: https://ijasre.net/index.php/ijasre/article/download/1301/1811/2542
https://ijasre.net/index.php/ijasre/article/view/1301

Performance Analysis of K Means Clustering Algorithms for mMTC Systems

Authors: Kim, Haesik

Source: 2020 International Conference on Information and Communication Technology Convergence (ICTC)

Subject Terms: ta113, IoT, Sensor networks, ta213, K means clustering, Wireless Communication, Machine learning, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, mMTC, Unsupervised learning, Clustering, etc

Access URL: https://dblp.uni-trier.de/db/conf/ictc/ictc2020.html#Kim20
https://doi.org/10.1109/ICTC49870.2020.9289287
https://cris.vtt.fi/en/publications/performance-analysis-of-k-means-clustering-algorithms-for-mmtc-sy

A Robust Segmentation of Malaria Parasites Detection using Fast k-Means and Enhanced k-Means Clustering Algorithms

Authors: Zeehaida Mohamed T. A. Aris Aimi Salihah Abdul Nasir

Source: 2021 IEEE International Conference on Signal and Image Processing Applications (ICSIPA). :128-133

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 3. Good health

Access URL: http://xplorestaging.ieee.org/ielx7/9576761/9576762/09576799.pdf?arnumber=9576799
http://dblp.uni-trier.de/db/conf/icsipa/icsipa2021.html#ArisNM21
https://doi.org/10.1109/ICSIPA52582.2021.9576799
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=9576799

Apriori association rule and K-means clustering algorithms for interpretation of pre-event landslide areas and landslide inventory mapping

Authors: Murat Yakar Mehmet Özgür Çelik Fatma Bünyan Ünel et al.

Source: Open Geosciences, Vol 13, Iss 1, Pp 1226-1244 (2021)

Subject Terms: landslide, QE1-996.5, apriori algorithm, uav, landslide inventory, k-means algorithm, 0211 other engineering and technologies, Geology, 02 engineering and technology, 15. Life on land, 01 natural sciences, 0105 earth and related environmental sciences

Access URL: https://doaj.org/article/498a4e4ec8df4a96b94de25415325b12
https://www.degruyter.com/document/doi/10.1515/geo-2020-0299/pdf
https://www.degruyter.com/document/doi/10.1515/geo-2020-0299/html

Comparison and application of SOFM, fuzzy c-means and k-means clustering algorithms for natural soil environment regionalization in China

Authors: Zhao, Wenhao Ma, Jin Liu, Qiyuan et al.

Source: Environmental Research. 216

Subject Terms: Soil regionalization, Soil classification, Digital soil mapping, Unsupervised clustering, Cluster validity

File Description: print

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-201022