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IDA
2009
Springer
15 years 4 months ago
Context-Based Distance Learning for Categorical Data Clustering
Abstract. Clustering data described by categorical attributes is a challenging task in data mining applications. Unlike numerical attributes, it is difficult to define a distance b...
Dino Ienco, Ruggero G. Pensa, Rosa Meo
SAC
2011
ACM
14 years 9 months ago
Hierarchical comments-based clustering
Information resources on the Web like videos, images, and documents are increasingly becoming more “social” through user engagement via commenting systems. These commenting sy...
Chiao-Fang Hsu, James Caverlee, Elham Khabiri
WWW
2009
ACM
16 years 7 months ago
Web image retrieval reranking with multi-view clustering
General image retrieval is often carried out by a text-based search engine, such as Google Image Search. In this case, natural language queries are used as input to the search eng...
Mingmin Chi, Peiwu Zhang, Yingbin Zhao, Rui Feng, ...
WWW
2006
ACM
16 years 7 months ago
Improved annotation of the blogosphere via autotagging and hierarchical clustering
Tags have recently become popular as a means of annotating and organizing Web pages and blog entries. Advocates of tagging argue that the use of tags produces a 'folksonomy&#...
Christopher H. Brooks, Nancy Montanez
IEEECIT
2009
IEEE
16 years 1 months ago
Clustering of Software Systems Using New Hybrid Algorithms
—Software clustering is a method for increasing software system understanding and maintenance. Software designers, first use MDG graph to model the structure of software system. ...
Ali Safari Mamaghani, Mohammad Reza Meybodi