Downloads: 134 | Views: 193
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
Similar Articles with Keyword 'clustering'
Student Project, Computer Science & Engineering, India, Volume 11 Issue 6, June 2022Pages: 1875 - 1880
Microclustering with Outlier Detection for DADC
Aswathy Priya M.
Research Paper, Computer Science & Engineering, India, Volume 10 Issue 9, September 2021Pages: 649 - 652
Image Segmentation using Biogeography based Optimization and its Comparison with K Means Clustering
Babita Chauhan  | Preeti Sondhi