1![K-means Clustering Mohammad Emtiyaz Khan EPFL Nov 3, 2015 c K-means Clustering Mohammad Emtiyaz Khan EPFL Nov 3, 2015 c](https://www.pdfsearch.io/img/ea1b037ecc26b33f7a0ac348c05d049a.jpg) | Add to Reading ListSource URL: emtiyaz.github.ioLanguage: English - Date: 2018-08-03 01:10:17
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2![2012 Second Joint 3DIM/3DPVT Conference: 3D Imaging, Modeling, Processing, Visualization & Transmission Boosting the computational performance of feature-based multiple 3D scan alignment by iat-k-means clustering Nicola 2012 Second Joint 3DIM/3DPVT Conference: 3D Imaging, Modeling, Processing, Visualization & Transmission Boosting the computational performance of feature-based multiple 3D scan alignment by iat-k-means clustering Nicola](https://www.pdfsearch.io/img/3eff3f8198af8313fc4b4d3aa86b1a6d.jpg) | Add to Reading ListSource URL: nicola17.github.ioLanguage: English - Date: 2018-06-12 12:25:01
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3![Uniform Deviation Bounds for k-Means Clustering Olivier Bachem 1 Mario Lucic 1 S. Hamed Hassani 1 Andreas Krause 1 Abstract Uniform deviation bounds limit the difference between a model’s expected loss and its loss on Uniform Deviation Bounds for k-Means Clustering Olivier Bachem 1 Mario Lucic 1 S. Hamed Hassani 1 Andreas Krause 1 Abstract Uniform deviation bounds limit the difference between a model’s expected loss and its loss on](https://www.pdfsearch.io/img/4041cf80c6130e616f5644515693408a.jpg) | Add to Reading ListSource URL: proceedings.mlr.press- Date: 2018-02-06 15:06:57
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4![Uniform Deviation Bounds for k-Means Clustering Olivier Bachem 1 Mario Lucic 1 S. Hamed Hassani 1 Andreas Krause 1 Abstract Uniform deviation bounds limit the difference between a model’s expected loss and its loss on Uniform Deviation Bounds for k-Means Clustering Olivier Bachem 1 Mario Lucic 1 S. Hamed Hassani 1 Andreas Krause 1 Abstract Uniform deviation bounds limit the difference between a model’s expected loss and its loss on](https://www.pdfsearch.io/img/978d5e9552602147835b81e53cebd3e2.jpg) | Add to Reading ListSource URL: proceedings.mlr.press- Date: 2018-02-06 15:06:57
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5![Clustering: K -means and Kernel K -means Piyush Rai Machine Learning (CS771A) Aug 31, 2016 Machine Learning (CS771A) Clustering: K -means and Kernel K -means Piyush Rai Machine Learning (CS771A) Aug 31, 2016 Machine Learning (CS771A)](https://www.pdfsearch.io/img/22e123c30cfbf17f4ba3e42f7c4bbad8.jpg) | Add to Reading ListSource URL: cse.iitk.ac.in- Date: 2016-09-02 03:04:24
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6![CSE 291: Geometric algorithms Spring 2013 Lecture 3 — Algorithms for k-means clustering CSE 291: Geometric algorithms Spring 2013 Lecture 3 — Algorithms for k-means clustering](https://www.pdfsearch.io/img/b1ecbbdbe41df1a64e8924902b59dcc8.jpg) | Add to Reading ListSource URL: cseweb.ucsd.edu- Date: 2013-04-26 00:41:06
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7![Parallel K -Means Clustering Based on MapReduce Weizhong Zhao1,2 , Huifang Ma1,2 , and Qing He1 1 The Key Laboratory of Intelligent Information Processing, Institute of Computing Parallel K -Means Clustering Based on MapReduce Weizhong Zhao1,2 , Huifang Ma1,2 , and Qing He1 1 The Key Laboratory of Intelligent Information Processing, Institute of Computing](https://www.pdfsearch.io/img/0498ceeecb570edbd6a1b162b4e9bd7f.jpg) | Add to Reading ListSource URL: www.cs.ucsb.edu- Date: 2014-01-02 16:23:29
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8![k-means--: A unified approach to clustering and outlier detection Sanjay Chawla∗ Aristides Gionis† Abstract k-means--: A unified approach to clustering and outlier detection Sanjay Chawla∗ Aristides Gionis† Abstract](https://www.pdfsearch.io/img/08f736dc1b6470c80403ca43085545b9.jpg) | Add to Reading ListSource URL: pmg.it.usyd.edu.au- Date: 2013-04-29 03:13:53
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9![V-Measure: A conditional entropy-based external cluster evaluation measure Andrew Rosenberg and Julia Hirschberg Department of Computer Science Columbia University New York, NY 10027 V-Measure: A conditional entropy-based external cluster evaluation measure Andrew Rosenberg and Julia Hirschberg Department of Computer Science Columbia University New York, NY 10027](https://www.pdfsearch.io/img/cc3fcbee5a4274a1a72246ccdcbb04e3.jpg) | Add to Reading ListSource URL: www1.cs.columbia.eduLanguage: English - Date: 2008-01-18 10:31:22
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10![WEYAND, DESELAERS, NEY: LOG-LINEAR MIXTURES 1 Log-Linear Mixtures for Object Class Recognition WEYAND, DESELAERS, NEY: LOG-LINEAR MIXTURES 1 Log-Linear Mixtures for Object Class Recognition](https://www.pdfsearch.io/img/cdba0ff2a25427dfeedd5e3f398b525a.jpg) | Add to Reading ListSource URL: thomas.deselaers.deLanguage: English - Date: 2014-10-11 09:29:39
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