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Some new algorithms for categorical data. ■ Challenges in clustering categorical ... There are only several algorithms for clustering categorical data. ...

http://math.acadiau.ca/nicds_dm/ClusteringCategoricalData.pdf

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Cactus– clustering categorical data using summaries. Pro- ceedings of the 5th ACM SIGKDD International. Conference on Knowledge Discovery and Data Min- ...

http://syrcodis.citforum.ru/2006/kudova.pdf

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Clustering Categorical Data Using Qualified Nearest. Neighbors Selection Model*. Yang Jin and Wanli Zuo. College of Computer Science & Technology, ...

http://www.springerlink.com/index/x07252g9723g315u.pdf

Nevertheless, clustering ensembles for categorical data have not .... While COOLCAT is an effective method for clustering categorical data, ...

http://www.springerlink.com/index/h83g3g35336w3461.pdf

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http://140.115.80.66/data mining paper databases/IEEE Transactions on Fuzzy Systems/A fuzzy k-modes.pdf

1 Tree based clustering algorithm for categorical data .... life there are plenty of categorical data to need to be clustered. ...

http://www.waset.org/journals/waset/v56/v56-64.pdf

procedure for clustering categorical data. The first step .... clustering and cluster validity for categorical data and its application in ...

http://www.waset.org/journals/waset/v12/v12-34.pdf

efficiently cluster large categorical data sets. A fuzzy .... cluster categorical data. The objective of clustering a set of categorical objects into ...

http://ieeexplore.ieee.org/iel5/91/17011/00784206.pdf?arnumber=784206

Scalable clustering of categorical data. In International Confer- ... Clustering Categorical Data Using Summaries. In Proc. of ACM. SIGKDD, 1999. ...

http://ieeexplore.ieee.org/iel5/69/4358933/04497196.pdf?arnumber=4497196

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526 [9] Z. Huang, Extensions to the k-means algorithm for clustering large data sets with categorical values, Data Mining ...

http://www.csie.ncu.edu.tw/~chia/pub/article_proof.pdf

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by HJ Doclustering categorical data instead of the Euclidean distance. However, as the Jaccard co- efficient computes the similarity between two objects only, ...

http://www.ijicic.org/icic08-si03-20-1.pdf

by P Berkhin - Cited by 733

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by RG Pensa - Cited by 17

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Bayesian clustering to cluster categorical data is experimented ...... ^Clustering Categorical Data using summaries, In Proc. of ACM ...

http://www.ijcte.org/papers/019.pdf

Clustering of categorical data II. Problems available statistical packages provide similarity measures for binary data methods for categorical data rare and ...

http://www.cs.cas.cz/petra/slides/syrcodis.pdf

ical data, clustering the categorical data streams becomes ... clustering categorical data. Li et al [21] also proved that the ...

http://smartech.gatech.edu/bitstream/1853/9433/1/GIT-CC-05-11.pdf

A growing number of clustering algorithms for categorical data have been pro- ...... CLICK: Clustering Categorical Data using K-partite Maximal. Cliques. ...

http://www.cse.yorku.ca/~billa/MULIC/AndreopoulosPAKDD2007.pdf

by B Andreopoulos - Cited by 4

http://www.cse.yorku.ca/~billa/MULIC/AndreopoulosIQIS_web.pdf

Modeling clustered categorical data based on extensions of generalized linear ...... CLUSTERED CATEGORICAL DATA. 249 where fiij denotes predictions based on ...

http://www.informaworld.com/index/772465888.pdf

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http://www4.ncsu.edu/~mtchu/Research/Papers/k-modes.pdf

principle. Recently the clustering of categorical data has attracted much attention. One example includes the popular tool in the data mining field, ...

http://www.cs.uoi.gr/~lagaris/GRAD_GLOPT/projects/EM.pdf

by T Morzy - Cited by 23

http://www.cs.put.poznan.pl/mzakrzewicz/pubs/pakdd01a.pdf

algorithm for clustering categorical data. We modify a simple matching .... To cluster categorical data, the fuzzy k-modes algorithm extends the hard k- ...

http://inderscience.metapress.com/index/A26UP0385Q604P11.pdf