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Clustering quality - PowerPoint PPT Presentation


CS 478 – Tools for Machine Learning and Data Mining

CS 478 – Tools for Machine Learning and Data Mining

CS 478 – Tools for Machine Learning and Data Mining. Clustering: Distance-based Approaches. What is Clustering?. Unsupervised learning. Seeks to organize data elements into “ reasonable ” groups. Typically based on some similarity (or distance) measure defined over data elements.

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444 views • 23 slides



A Framework for Projected Clustering of High

A Framework for Projected Clustering of High

A Framework for Projected Clustering of High. Dimensional Data Streams. Proceedings of the 30th VLDB Conference, Toronto, Canada, 2004. Motivation and Underlying Concepts. All dimensions should not be considered in high dimensional setup for clustering

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268 views • 15 slides


On the quality of ART1 text clustering

On the quality of ART1 text clustering

On the quality of ART1 text clustering. Advisor : Dr. Hsu Graduate : Wen-Hsiang Hu Authors : Louis Massey. Neural Networks 2003 ,Elsevier Science Ltd. Outline. Motivation Objective Introduction Experimental setting Binary ART1 Experimental results Conclusions and Future Work

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239 views • 15 slides


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