Browsing Department of Computer Science and Information Systems by Subject "Incremental clustering"

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An Efficient Density Based Incremental Clustering Algorithm in Data Warehousing Environment

Goyal, Navneet; Goyal, Poonam (IPCSIT, 2009)

Data Warehouses are a good source of data for downstream data mining applications. New data arrives in data warehouses during the periodic refresh cycles. Appending of data on existing data requires that all patterns ...
An efficient method for batch updates in OPTICS cluster ordering

Goyal, Poonam; Goyal, Navneet (Inder Science, 2018)

DBSCAN is one of the popular density-based clustering algorithms, but requires re-clustering the entire data when the input parameters are changed. OPTICS overcomes this limitation. In this paper, we propose a batch-wise ...
A Multi-purpose Density Based Clustering Framework

Goyal, Navneet; Goyal, Poonam (Springer, 2011)

In this paper, we present a multi-purpose density-based clustering framework. The framework is based on a novel cluster merging algorithm which can efficiently merge two sets of DBSCAN clusters using the concept of ...

Now showing items 1-3 of 3

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