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KDD
2006
ACM
112views Data Mining» more  KDD 2006»
15 years 10 months ago
K-means clustering versus validation measures: a data distribution perspective
K-means is a widely used partitional clustering method. While there are considerable research efforts to characterize the key features of K-means clustering, further investigation...
Hui Xiong, Junjie Wu, Jian Chen
TMI
1998
97views more  TMI 1998»
14 years 9 months ago
Optimization and FROC Analysis of Rule-Based Detection Schemes Using a Multiobjective Approach
Abstract—Computerized detection schemes have the potential of increasing diagnostic accuracy in medical imaging by alerting radiologists to lesions that they initially overlooked...
Mark A. Anastasio, Matthew A. Kupinski, Robert M. ...
ICML
2003
IEEE
15 years 11 months ago
Multi-Objective Programming in SVMs
We propose a general framework for support vector machines (SVM) based on the principle of multi-objective optimization. The learning of SVMs is formulated as a multiobjective pro...
Jinbo Bi
196
Voted
SDM
2012
SIAM
452views Data Mining» more  SDM 2012»
13 years 15 days ago
Density-based Projected Clustering over High Dimensional Data Streams
Clustering of high dimensional data streams is an important problem in many application domains, a prominent example being network monitoring. Several approaches have been lately ...
Irene Ntoutsi, Arthur Zimek, Themis Palpanas, Peer...
CLUSTER
2009
IEEE
15 years 4 months ago
Extending I/O through high performance data services
Hasan Abbasi, Jay F. Lofstead, Fang Zheng, Karsten...