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Note for Data Mining And Data Warehousing - DMDW By Tavish Barua

  • Data Mining And Data Warehousing - DMDW
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  • Guru govind Singh indraprastha university - GGSIPU
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Data Mining - Clustering Lecturer: JERZY STEFANOWSKI Institute of Computing Sciences Poznan University of Technology Poznan, Poland Lecture 7 SE Master Course 2008/2009

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Aims and Outline of This Module • Discussing the idea of clustering. • Applications • Shortly about main algorithms. • More details on: • k-means algorithm/s • Hierarchical Agglomerative Clustering • Evaluation of clusters • Large data mining perspective • Practical issues: clustering in Statistica and WEKA. © Stefanowski 2008

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Acknowledgments: • As usual I used not only ideas from my older lectures,… • Smth is borrowed from • J.Han course on data mining • G.Piatetsky- Shapiro teaching materials • WEKA and Statsoft white papers and documentation © Stefanowski 2008

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Cluster Analysis Astronomy - aggregation of stars, galaxies, or super galaxies, … © Stefanowski 2008

Lecture Notes