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» Data Clustering: A Review
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KDD
1999
ACM
99views Data Mining» more  KDD 1999»
15 years 11 months ago
On the Merits of Building Categorization Systems by Supervised Clustering
This paper investigates the use of supervised clustering in order to create sets of categories for classi cation of documents. We use information from a pre-existing taxonomy in o...
Charu C. Aggarwal, Stephen C. Gates, Philip S. Yu
176
Voted
ACMSE
2007
ACM
15 years 11 months ago
Enhancing clustering blog documents by utilizing author/reader comments
Blogs are a new form of internet phenomenon and a vast everincreasing information resource. Mining blog files for information is a very new research direction in data mining. We p...
Beibei Li, Shuting Xu, Jun Zhang
NIPS
2001
15 years 8 months ago
Constructing Distributed Representations Using Additive Clustering
If the promise of computational modeling is to be fully realized in higherlevel cognitive domains such as language processing, principled methods must be developed to construct th...
Wheeler Ruml
INFFUS
2006
142views more  INFFUS 2006»
15 years 6 months ago
Moderate diversity for better cluster ensembles
Adjusted Rand index is used to measure diversity in cluster ensembles and a diversity measure is subsequently proposed. Although the measure was found to be related to the quality...
Stefan Todorov Hadjitodorov, Ludmila I. Kuncheva, ...
163
Voted
PKDD
2010
Springer
141views Data Mining» more  PKDD 2010»
15 years 4 months ago
On Detecting Clustered Anomalies Using SCiForest
Detecting local clustered anomalies is an intricate problem for many existing anomaly detection methods. Distance-based and density-based methods are inherently restricted by their...
Fei Tony Liu, Kai Ming Ting, Zhi-Hua Zhou