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» Algorithms for Categorical Equivalence
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ICDE
1999
IEEE
183views Database» more  ICDE 1999»
14 years 8 months ago
ROCK: A Robust Clustering Algorithm for Categorical Attributes
Clustering, in data mining, is useful to discover distribution patterns in the underlying data. Clustering algorithms usually employ a distance metric based (e.g., euclidean) simi...
Sudipto Guha, Rajeev Rastogi, Kyuseok Shim
ESWA
2007
151views more  ESWA 2007»
13 years 7 months ago
A novel feature selection algorithm for text categorization
With the development of the web, large numbers of documents are available on the Internet. Digital libraries, news sources and inner data of companies surge more and more. Automat...
Wenqian Shang, Houkuan Huang, Haibin Zhu, Yongmin ...
DMKD
1997
ACM
308views Data Mining» more  DMKD 1997»
13 years 11 months ago
A Fast Clustering Algorithm to Cluster Very Large Categorical Data Sets in Data Mining
Partitioning a large set of objects into homogeneous clusters is a fundamental operation in data mining. The k-means algorithm is best suited for implementing this operation becau...
Zhexue Huang
CSDA
2006
98views more  CSDA 2006»
13 years 7 months ago
Fast estimation algorithm for likelihood-based analysis of repeated categorical responses
Likelihood-based marginal regression modelling for repeated, or otherwise clustered, categorical responses is computationally demanding. This is because the number of measures nee...
Jukka Jokinen
ANSS
1995
IEEE
13 years 11 months ago
Algorithms for categorizing multiprocessor communication under invalidate and update-based coherence protocols
In this paper we present simulation algorithmsthat characterize the main sources of communication generated by parallel applications under both invalidate and updatebased cache co...
Ricardo Bianchini, Leonidas I. Kontothanassis