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23 Pages

### dm5part4-color

Course: CIS 4930, Fall 2008
School: University of Florida
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Word Count: 2243

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of University Florida CISE department Gator Engineering Clustering Part 4 Dr. Sanjay Ranka Professor Computer and Information Science and Engineering University of Florida, Gainesville University of Florida CISE department Gator Engineering DBSCAN DBSCAN is a density based clustering algorithm Density = number of points within a specified radius (Eps) A point is a core point if it has more than specified...

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of University Florida CISE department Gator Engineering Clustering Part 4 Dr. Sanjay Ranka Professor Computer and Information Science and Engineering University of Florida, Gainesville University of Florida CISE department Gator Engineering DBSCAN DBSCAN is a density based clustering algorithm Density = number of points within a specified radius (Eps) A point is a core point if it has more than specified number of points (MinPts) within Eps Core point is in the interior of a cluster A border point has fewer than MinPts within Eps but is in neighborhood of a core point A noise point is any point that is neither a core point nor a border point Data Mining Sanjay Ranka Fall 2003 2 1 University of Florida CISE department Gator Engineering DBSCAN: Core, Border and Noise points Data Mining Sanjay Ranka Fall 2003 3 University of Florida CISE department Gator Engineering When DBSCAN works well Original Dataset Clusters found by DBSCAN Data Mining Sanjay Ranka Fall 2003 4 2 University of Florida CISE department Gator Engineering DBSCAN: Core, Border and Noise points Original Points Eps = 10, Minpts = 4 Point types: Core Border Noise Fall 2003 5 Data Mining Sanjay Ranka University of Florida CISE department Gator Engineering DBSCAN: Determining Eps and MinPts Idea is that for points in a cluster, there kth nearest neighbors are at roughly the same distance Noise points have the kth nearest neighbor at at farther distance So, plot sorted distance of every point to its kth nearest neighbor. (k=4 used for...
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University of Florida - CIS - 4930
University of FloridaCISE departmentGator EngineeringClusteringPart 4Dr. Sanjay Ranka Professor Computer and Information Science and Engineering University of Florida, GainesvilleUniversity of FloridaCISE departmentGator EngineeringDB
University of Florida - CIS - 4930
University of FloridaCISE departmentGator EngineeringClusteringPart 5Dr. Sanjay Ranka Professor Computer and Information Science and Engineering University of Florida, GainesvilleUniversity of FloridaCISE departmentGator EngineeringSN
University of Florida - CIS - 4930
University of FloridaCISE departmentGator EngineeringClusteringPart 5Dr. Sanjay Ranka Professor Computer and Information Science and Engineering University of Florida, GainesvilleUniversity of FloridaCISE departmentGator EngineeringSN
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BU - CS - 113
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Princeton - COS - 323
9 )!lF@ % &amp; 1 y f {6tFn65F) \$ 4 C &amp; 1 y f \$ \$ C \$( &quot; C 1 f f f \$ ( 5( C 0Y)F){)tFi65F)p00FFp0FFYFs6#60p660FrYF 1 f k f \$ ( 5( C \$ ( k C \$ 4( C \$(&quot; C &quot; &amp;\$( C f&quot; Fz)4mc)o)0600xFzFo0m6FzF#
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NAME . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . (Please underline your family name.)Math339 Real and Functiona
Allan Hancock College - MATH - 339
NAME . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . (Please underline your family name.)Math339 Real and Functiona
Allan Hancock College - MATH - 339
NAME . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . (Please underline your family name.)Assignment 6Math339 Real and Functio
Allan Hancock College - MATH - 339
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