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» Clustering with Qualitative Information
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ICML
2010
IEEE
14 years 12 months ago
Comparing Clusterings in Space
This paper proposes a new method for comparing clusterings both partitionally and geometrically. Our approach is motivated by the following observation: the vast majority of previ...
Michael H. Coen, M. Hidayath Ansari, Nathanael Fil...
JDCTA
2010
228views more  JDCTA 2010»
14 years 8 months ago
Research and Progress of Cluster Algorithms based on Granular Computing
Granular Computing (GrC), a knowledge-oriented computing which covers the theory of fuzzy information granularity, rough set theory, the theory of quotient space and interval comp...
Shifei Ding, Li Xu, Hong Zhu, Liwen Zhang
KDD
2010
ACM
300views Data Mining» more  KDD 2010»
15 years 12 days ago
Using data mining techniques to address critical information exchange needs in disaster affected public-private networks
Crisis Management and Disaster Recovery have gained immense importance in the wake of recent man and nature inflicted calamities. A critical problem in a crisis situation is how t...
Li Zheng, Chao Shen, Liang Tang, Tao Li, Steven Lu...
JIS
2011
112views more  JIS 2011»
14 years 4 months ago
Classifying ecommerce information sharing behaviour by youths on social networking sites
Teenagers and young adults form an economically critical demographic group and are confronted with an array of internet social networking services just as they are forming online ...
Bernard J. Jansen, Kate Sobel, Geoff Cook
SDM
2004
SIAM
212views Data Mining» more  SDM 2004»
15 years 3 months ago
Clustering with Bregman Divergences
A wide variety of distortion functions, such as squared Euclidean distance, Mahalanobis distance, Itakura-Saito distance and relative entropy, have been used for clustering. In th...
Arindam Banerjee, Srujana Merugu, Inderjit S. Dhil...