'Different clusters' presentation slideshows

Semisupervised Clustering with Metric Learning Using Relative Comparisons

Semisupervised Clustering with Metric Learning Using Relative Comparisons. Nimit Kumar, Member, IEEE, and Krishna Kummamuru IEEE Transactions On Knowledge And Data Engineering Volume:20, Issue:4, Pages:496-503 ???????? ?? ???? ?? ? ? ?????. ???? 97 ? 8 ? 14 ?.

532 views • 20 slides

IT 433 Data Warehousing and Data Mining

341 views • 19 slides

Clustering

Clustering. Basic concepts with simple examples Categories of clustering methods Challenges. What is clustering?. The process of grouping a set of physical or abstract objects into classes of similar objects. It is also called unsupervised learning .

342 views • 18 slides

Compton Study from Experimental Data

Compton Study from Experimental Data. Purpose:. To show that method for selecting single arm Compton events works on real Compton data and to see if we can qualitatively see single arm Compton events in production runs. Double-Arm (Tested on dedicated Compton run # 4658).

327 views • 17 slides

Overview

188 views • 11 slides

MIS 451 Building Business Intelligence Systems

MIS 451 Building Business Intelligence Systems. Clustering (1). Problem. Target Marketing Diaper, Baby food, Swiss cheese and Belgian Toys chocolate . French Wine. Clustering.

255 views • 8 slides

Clustering Detecting margin regions

Max-margin Clustering: Detecting Margins from Projections of Points on Lines. Raghuraman Gopalan 1 , and Jagan Sankaranarayanan 2 1 Center for Automation Research, University of Maryland, College Park, MD USA; 2 NEC Labs, Cupertino, CA USA . Multi-cluster Problem.

109 views • 1 slides