International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Since Year 2012 | Open Access | Fully Refereed | Peer Reviewed

ISSN: 2319-7064




Downloads: 134

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

K- Means Clustering Algorithm Applications in Data Mining and Pattern Recognition


How to Cite this Article?

Huda Hamdan Ali, Lubna Emad Kadhum, "K- Means Clustering Algorithm Applications in Data Mining and Pattern Recognition", International Journal of Science and Research (IJSR), https://www.ijsr.net/get_abstract.php?paper_id=ART20176024, Volume 6 Issue 8, August 2017, 1577 - 1584, #ijsrnet

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