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151	IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, VOL. 25, NO. 4, Add to Reading List Source URL: infolab.usc.edu Language: English - Date: 2013-07-08 18:34:02 Discrete geometry Search algorithms Computational geometry Diagrams Voronoi diagram Nearest neighbor search R-tree K-nearest neighbor algorithm Spatial database Information science Mathematics Geometry
152	CCCG 2014, Halifax, Nova Scotia, August 11–13, 2014 Maximum Independent Set for Interval Graphs and Trees in Space Efficient Models Binay K. Bhattacharya∗ Add to Reading List Source URL: www.cccg.ca Language: English - Date: 2014-06-24 09:52:12 Binary trees Analysis of algorithms Computational complexity theory Time complexity Dynamic programming Interval graph Tree decomposition Rope Interval tree Graph theory Theoretical computer science Mathematics
153	Maximum Independent Set for Intervals by Divide-Prune-and-Conquer Jack Snoeyink∗ Dept. of Computer Science UNC Chapel Hill Lemma 1 Let T be a recursion tree with k leaves and Add to Reading List Source URL: www.cccg.ca Language: English - Date: 2005-07-31 13:55:55 Order theory Topology Divide and conquer algorithm Independent set Algorithm Logarithm Interval tree Graph theory Mathematics Interval
154	CCCG 2013, Waterloo, Ontario, August 8–10, 2013 The Unified Segment Tree and its Application to the Rectangle Intersection Problem David P. Wagner∗ Add to Reading List Source URL: www.cccg.ca Language: English - Date: 2013-08-11 21:51:58 R-tree Computer programming Segment tree K-d tree H tree Tree Bin Rope Binary trees Computing Data management
155	Staying in the Middle: Exact and Approximate Medians in R1 and R2 for Moving Points ∗ Pankaj K. Agarwal† 1 Add to Reading List Source URL: www.cccg.ca Language: English - Date: 2005-07-31 13:55:46 K-d tree VC dimension Algorithm Centerpoint Ε-net Data stream clustering Geometry Mathematics Statistics
156	2014 IEEE Conference on Computer Vision and Pattern Recognition Constructing Robust Afﬁnity Graphs for Spectral Clustering Xiatian Zhu1 , Chen Change Loy2 , Shaogang Gong1 1 Queen Mary University of London, London E1 Add to Reading List Source URL: personal.ie.cuhk.edu.hk Language: English - Date: 2014-07-02 23:16:31 Data mining Decision trees K-nearest neighbor algorithm Cluster analysis Random forest K-means clustering Segmentation Distance matrix Decision tree learning Statistics Machine learning Computational statistics
157	CCCG 2011, Toronto ON, August 10–12, 2011 On Finding Skyline Points for Range Queries in Plane Anil Kishore Kalavagattu ∗ Add to Reading List Source URL: www.cccg.ca Language: English - Date: 2011-08-06 04:11:15 Search algorithms Binary trees Fractional cascading Range searching Bin FO Computational geometry Lowest common ancestor K-d tree Graph theory Mathematics Theoretical computer science
158	An Extension of the CHAID Tree-based Segmentation Algorithm to Multiple Dependent Variables? Jay Magidson1 and Jeroen K. Vermunt2 1 2 Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2006-09-05 12:14:41 Econometrics Categorical data Psychometrics CHAID Latent class model Multinomial logit Decision tree learning Latent variable Factor analysis Statistics Regression analysis Decision trees
159	What is the nearest neighbor in high dimensional spaces? Alexander Hinneburgy Charu C. Aggarwalz y Institute of Computer Science, University of Halle Add to Reading List Source URL: fusion.cs.uni-magdeburg.de Language: English - Date: 2002-10-04 04:14:52 Artificial intelligence Machine learning Numerical analysis Approximation algorithms Data mining Nearest neighbor search K-nearest neighbor algorithm R-tree IDistance Information science Search algorithms Mathematics
160	CCCG 2011, Toronto ON, August 10–12, 2011 Finding The Maximum Density Axes Parallel Regions for Weighted Point Sets Ananda Swarup Das Add to Reading List Source URL: www.cccg.ca Language: English - Date: 2011-08-06 04:11:13 Fractional cascading Computer programming Logarithm K-d tree Interval tree Mathematics Binary trees Computing

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