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  1. Chapter and Conference Paper

    Distance based Incremental Clustering for Mining Clusters of Arbitrary Shapes

    Clustering has been recognized as one of the important tasks in data mining. One important class of clustering is distance based method. To reduce the computational and storage burden of the classical clusteri...

    Bidyut Kr. Patra, Ollikainen Ville in Pattern Recognition and Machine Intelligen… (2013)

  2. No Access

    Chapter and Conference Paper

    Neighborhood Based Clustering Method for Arbitrary Shaped Clusters

    Discovering clusters of arbitrary shape with variable densities is an interesting challenge in many fields of science and technology. There are few clustering methods, which can detect clusters of arbitrary sh...

    Bidyut Kr. Patra, Sukumar Nandi in Foundations of Intelligent Systems (2011)

  3. Chapter and Conference Paper

    NDoT: Nearest Neighbor Distance Based Outlier Detection Technique

    In this paper, we propose a nearest neighbor based outlier detection algorithm, NDoT. We introduce a parameter termed as $ Nearest \mb...

    Neminath Hubballi, Bidyut Kr. Patra in Pattern Recognition and Machine Intelligen… (2011)

  4. No Access

    Chapter and Conference Paper

    Distance Based Fast Hierarchical Clustering Method for Large Datasets

    Average-link (AL) is a distance based hierarchical clustering method, which is not sensitive to the noisy patterns. However, like all hierarchical clustering methods AL also needs to scan the dataset many time...

    Bidyut Kr. Patra, Neminath Hubballi in Rough Sets and Current Trends in Computing (2010)