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Clustering
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#	Item
311	Efficient Hierarchical Graph-Based Segmentation of RGBD Videos Steven Hickson1 Stan Birchfield2 Irfan Essa1 Add to Reading List Source URL: www.cc.gatech.edu Language: English - Date: 2014-07-16 10:51:30 Image segmentation Computer vision Vision Artificial intelligence Region growing Range segmentation Minimum spanning tree Optical flow Hierarchical clustering Rigid motion segmentation Segmentation-based object categorization
312	CS264: Beyond Worst-Case Analysis Lecture #6: Clustering in Approximation-Stable Instances∗ Tim Roughgarden† October 10, 2014 Add to Reading List Source URL: theory.stanford.edu Language: English - Date: 2015-01-06 18:13:07 Statistics Computational statistics Data analysis Cluster analysis Data mining Geostatistics K-means clustering K-medians clustering Approximation algorithm Median Data stream clustering Single-linkage clustering
313	Small Business SEO 101 Text Copyright © STARTUP UNIVERSITY All Rights Reserved No part of this document or the related files may be reproduced or transmitted in any Add to Reading List Source URL: startupsavant.com Language: English - Date: 2016-07-07 00:22:04 World Wide Web Search engine optimization Internet marketing Internet search engines Keyword research Marketing Search engine technology AdWords Google Search Search engine marketing Keyword clustering
314	Microsoft Word - IDHC_Camera_Ready.doc Add to Reading List Source URL: www.ke.tu-darmstadt.de Language: English - Date: 2009-11-06 11:55:58 Statistics Information science Cluster analysis Data mining Information Geostatistics Hierarchical clustering K-means clustering Document clustering Consensus clustering Nearest-neighbor chain algorithm
315	Link-Prediction Enhanced Consensus Clustering for Complex Networks Add to Reading List Source URL: www.cond.org Language: English - Date: 2016-06-08 16:03:42 Networks Network theory Graph theory Community structure Consensus clustering Mathematics Cluster analysis Modularity Statistics GirvanNewman algorithm
316	2010 Workshops on Database and Expert Systems Applications MeMO: A Clustering-based Approach for Merging Multiple Ontologies Fabiana Freire de Araújo Add to Reading List Source URL: www.cin.ufpe.br Language: English - Date: 2013-02-22 09:27:11 Ontology Information science Semantic Web Information Knowledge representation Knowledge engineering Computing Upper ontology Web Ontology Language Semantic integration Semantic similarity Ontology-based data integration
317	GPUDirect RDMA over 40Gbps Ethernet High Performance CUDA Clustering with Chelsio’s T5 ASIC Executive Summary NVIDIA’s GPUDirect technology enables direct access to a Graphics Processing Unit (GPU) over the PCI bus, Add to Reading List Source URL: www.chelsio.com Language: English - Date: 2015-07-02 01:06:04 Computing Supercomputers Ethernet Computer networks SCSI Computer memory Remote direct memory access IWARP InfiniBand Hyper-V Chelsio Communications Network interface controller
318	149 Croatian Operational Research Review CRORR), 149–159 A new fusion algorithm for fuzzy clustering Add to Reading List Source URL: www.mathos.unios.hr Language: English - Date: 2015-06-12 01:56:18 Fuzzy clustering K-means clustering DaviesBouldin index
319	Detecting Errors in Foreign Trade Transactions: Dealing with Insufficient Data Luis Torgo1,2 , Welma Pereira1 , and Carlos Soares1,3 1 LIAAD-INESC Porto, Univ. of Porto, R. Ceuta, 118, 6., Porto, Portugal Add to Reading List Source URL: www.dcc.fc.up.pt Language: English - Date: 2012-12-13 10:18:42 Statistics Robust statistics Data mining Statistical theory Regression analysis Outlier Statistical analysis Local outlier factor Cluster analysis Hierarchical clustering Random sample consensus Quartile
320	A Cluster-Level Semi-Supervision Model for Interactive Clustering Avinava Dubey1 , Indrajit Bhattacharya2? , and Shantanu Godbole1 1 IBM Research - India Add to Reading List Source URL: drona.csa.iisc.ernet.in Language: English - Date: 2011-09-10 02:02:47 Cluster analysis Statistics Computing Data analysis K-means clustering Constrained clustering Biclustering Computer cluster Clustering Determining the number of clusters in a data set Hierarchical clustering

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