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» A clustering method based on path similarities of XML data
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195
Voted
ICDE
1999
IEEE
183views Database» more  ICDE 1999»
16 years 1 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
132
Voted
NAACL
2003
15 years 1 months ago
Discriminating Among Word Senses Using McQuitty's Similarity Analysis
This paper presents an unsupervised method for discriminating among the senses of a given target word based on the context in which it occurs. Instances of a word that occur in si...
Amruta Purandare
PR
2006
84views more  PR 2006»
15 years 10 days ago
Geometric visualization of clusters obtained from fuzzy clustering algorithms
Fuzzy-clustering methods, such as fuzzy k-means and Expectation Maximization, allow an object to be assigned to multiple clusters with different degrees of membership. However, th...
Luis Rueda, Yuanquan Zhang
210
Voted
ICDE
2009
IEEE
156views Database» more  ICDE 2009»
16 years 2 months ago
Distributed Structural Relaxation of XPath Queries
Due to the structural heterogeneity of XML, queries are often interpreted approximately. This is achieved by relaxing the query and ranking the results based on their relevance to ...
Georgia Koloniari, Evaggelia Pitoura
199
Voted
ICDE
2007
IEEE
165views Database» more  ICDE 2007»
16 years 1 months ago
Distance Based Subspace Clustering with Flexible Dimension Partitioning
Traditional similarity or distance measurements usually become meaningless when the dimensions of the datasets increase, which has detrimental effects on clustering performance. I...
Guimei Liu, Jinyan Li, Kelvin Sim, Limsoon Wong