Finding the Number of Clusters using Visual Validation VAT Algorithm

Provided by: International Journal of Engineering and Technology
Topic: Data Management
Format: PDF
Clustering is the process of combining a set of data in such a way that data in the same group are more similar to each other than the groups (clusters). K-means is an algorithm for widely used in clustering techniques. But in this algorithm some of the issues are determined i.e. K-value selected by user is the main disadvantage. To overcome the drawback visual methods such as the VAT algorithm generally used for cluster analysis, also it is used to obtain the k-value prior to clustering.

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