Cluster labeling

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21	Six PROBABILISTIC RETRIEVAL Introduction So far in this book we have made very little use of probability theory in modelling any subsystem in IR. The reason for this is simply that the bulk of the work in IR is nonproba Add to Reading List Source URL: www.dcs.gla.ac.uk Language: English - Date: 1995-11-21 18:19:18 Information retrieval Natural language processing Relevance Precision and recall Expected value Probability Mutual information Cluster labeling Science Statistics Information science
22	Semi-Crowdsourced Clustering: Generalizing Crowd Labeling by Robust Distance Metric Learning Jinfeng Yi† , Rong Jin† , Anil K. Jain† , Shaili Jain\ , Tianbao Yang‡ † Michigan State University, East Lansing, MI Add to Reading List Source URL: www.cse.msu.edu Language: English - Date: 2013-02-09 13:51:50 Cluster analysis Data mining Geostatistics Machine learning Principal component analysis Segmentation Spectral clustering Hierarchical clustering UPGMA Statistics Multivariate statistics Data analysis
23	PDF Document Add to Reading List Source URL: www.cs.uiuc.edu Language: English - Date: 2004-02-09 16:19:56 Term Discrimination Vector space model Centroid Precision and recall Search engine indexing Tf*idf Cluster labeling Cluster analysis Information science Information retrieval Science