Incremental Cluster Detection using a Soft Computing Approach

Provided by: International Journal of Computer Applications
Topic: Data Management
Format: PDF
Clustering is the process of locating patterns in large data sets. As databases continue to grow in size, efficient and effective clustering algorithms play a paramount role in data mining applications. Traditional clustering approaches usually analyze static datasets in which objects are kept unchanged after being processed, but many practical datasets are dynamically modified which means some previously learned patterns have to be updated accordingly. Re-clustering the whole dataset from scratch is not a good choice due to the frequent data modifications and the limited out-of-service time, so the development of incremental clustering approaches is highly desirable.

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