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Seminar on Data Clustering Techniques by PrateekChadha is a document available to read on EtoBox.

What is Seminar on Data Clustering Techniques about?

1. The document discusses data clustering, which is an unsupervised machine learning technique that groups unlabeled data points into clusters based on similarity. 2. It covers different types of clustering techniques including hierarchical, partitional, graph theoretic, mixture resolving, nearest neighbor, and fuzzy clustering. 3. Applications of data clustering are discussed in fields such as machine learning, data mining, pattern recognition, image analysis, and bioinformatics. Challenges of clusteri

Author

PrateekChadha

Language

EN