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PAKDD
2005
ACM
142views Data Mining» more  PAKDD 2005»
14 years 3 months ago
Dynamic Cluster Formation Using Level Set Methods
Density-based clustering has the advantages for (i) allowing arbitrary shape of cluster and (ii) not requiring the number of clusters as input. However, when clusters touch each o...
Andy M. Yip, Chris H. Q. Ding, Tony F. Chan
FLAIRS
2004
13 years 11 months ago
Adaptive K-Means Clustering
Clustering is used to organize data for efficient retrieval. One of the problems in clustering is the identification of clusters in given data. A popular technique for clustering ...
Sanjiv K. Bhatia
PKDD
2007
Springer
86views Data Mining» more  PKDD 2007»
14 years 4 months ago
An Effective Approach to Enhance Centroid Classifier for Text Categorization
Centroid Classifier has been shown to be a simple and yet effective method for text categorization. However, it is often plagued with model misfit (or inductive bias) incurred by i...
Songbo Tan, Xueqi Cheng
ANLP
2000
115views more  ANLP 2000»
13 years 11 months ago
Categorizing Unknown Words: Using Decision Trees to Identify Names and Misspellings
This paper introduces a system for categorizing unknown words. The system is based on a multicomponent architecture where each component is responsible for identifying one class o...
Janine Toole
CVPR
2008
IEEE
15 years 8 days ago
A joint appearance-spatial distance for kernel-based image categorization
The goal of image categorization is to classify a collection of unlabeled images into a set of predefined classes to support semantic-level image retrieval. The distance measures ...
Guo-Jun Qi, Xian-Sheng Hua, Yong Rui, Jinhui Tang,...