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Comparative Studies | Computer Science & Engineering | Iraq | Volume 6 Issue 8, August 2017
K- Means Clustering Algorithm Applications in Data Mining and Pattern Recognition
Huda Hamdan Ali | Lubna Emad Kadhum
Abstract: clustering is a process of partitioning a set of data ( or objects) into a set of meaningful sub-classes, called clusters, help users understand the natural grouping or structure in a data set. clustering has wide applications, in economic science ( especially market research), document, classification, pattern recognition, spatial data analysis and image processing k-means algorithm is the chosen clustering in data mining and image processing. k - means algorithm is the chosen clustering algorithm to study in this work. the paper include the algorithm and its implementation, how to use it in data application and also in pattern recognition.
Keywords: k-means, clustering, data mining, pattern recognition
Edition: Volume 6 Issue 8, August 2017,
Pages: 1577 - 1584
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Student Project, Computer Science & Engineering, India, Volume 11 Issue 6, June 2022
Pages: 1875 - 1880Microclustering with Outlier Detection for DADC
Aswathy Priya M.
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Analysis Study Research Paper, Computer Science & Engineering, India, Volume 12 Issue 11, November 2023
Pages: 1840 - 1846Analysis of Placement for Electronics and Communication Engineering Students using Multiple Clustering
Dr. Dola Sanjay S