'Initial cluster centers' presentation slideshows

Machine learning: Unsupervised learning

Machine learning: Unsupervised learning. David Kauchak cs311 Spring 2013 adapted from: http://www.stanford.edu/class/cs276/handouts /lecture17-clustering.ppt. Administrative. Assignment 5 out soon. Machine learning code. Weka Java based Tons of approaches

1.05k views • 68 slides

Data mining and its application and usage in medicine

Data mining and its application and usage in medicine. By Radhika. Data Mining and Medicine. History Past 20 years with relational databases More dimensions to database queries earliest and most successful area of data mining Mid 1800s in London hit by infectious disease Two theories

1.4k views • 63 slides

Course on Data Mining (581550-4)

7.11. 24./26.10. 14.11. Home Exam. 30.10. 21.11. 28.11. Course on Data Mining (581550-4). Intro/Ass. Rules. Clustering. Episodes. KDD Process. Text Mining. Appl./Summary. Course on Data Mining (581550-4). Today 14.11.2001. Today's subject : Classification, clustering

632 views • 54 slides

Unsupervised learning

829 views • 42 slides

Clustering

Clustering. COMP 290-90 Research Seminar GNET 214 BCB Module Spring 2006 Wei Wang. Outline. What is clustering Partitioning methods Hierarchical methods Density-based methods Grid-based methods Model-based clustering methods Outlier analysis. Outliers. Cluster 1. Cluster 2.

444 views • 27 slides

Constrained K-means Clustering with Background Knowledge

Constrained K-means Clustering with Background Knowledge. Wagstaff , Cardie , Rogers, Schroedl Proc. 18 th ICML, 2001. Background Knowledge. How to integrate background information (about the domain or the data set) into clustering algorithms Supervision in clustering can take two forms

296 views • 20 slides

A general grid-clustering approach

A general grid-clustering approach. Presenter : Chun-Ping Wu Authors : Shinong Yue , Miaomiao Wei, Jeen-shing Wang, Huaxiang Wang . ???????? National Yunlin University of Science and Technology. PRL 2008. Outline. Motivation Objective Methodology Experiments Conclusion

213 views • 9 slides