Review of K Mean and Fuzzy Clustering Algorithm |
| ( Vol-3,Issue-6,June 2016 ) OPEN ACCESS |
| Author(s): |
Harmeet Kaur, Manjit Kaur |
| Keywords: |
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Data mining, data mining techniques, K-means, Fuzzy k means. |
| Abstract: |
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Data mining is the process of discovering patterns in large data sets. It has attracted a lot of attention from various industries and researchers for critical decision making and development. Researchers has proposed a number of algorithms have been proposed in past for clustering of data as data mining techniques. There are multiple techniques of mining relevant information from existing databases. K-Means is most common used algorithm for clustering. Multiple versions of K-Means have been proposed with different improvements. In this paper, we will review few data clustering techniques. |
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Advanced Engineering Research and Science