Ankita Vimal

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Distance measure plays an important role in clustering data points. Choosing the right distance measure for a given dataset is a non-trivial problem. In this paper, we study various distance measures and their effect on different clustering techniques. In addition to the standard Euclidean distance, we use Bit-Vector based, Comparative Clustering based,(More)
Organizing data into semantically more meaningful is one of the fundamental modes of understanding and learning. Cluster analysis is a formal study of methods for understanding and algorithm for learning. K-mean clustering algorithm is one of the most fundamental and simple clustering algorithms. When there is no prior knowledge about the distribution of(More)
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