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» Fuzzy Clustering of Categorical Attributes and its Use in An...
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SCCC
2005
IEEE
13 years 11 months ago
A geometric framework to visualize fuzzy-clustered data
— Fuzzy clustering methods have been widely used in many applications. These methods, including fuzzy k-means and Expectation Maximization, allow an object to be assigned to mult...
Yuanquan Zhang, Luis Rueda
EDBT
2009
ACM
113views Database» more  EDBT 2009»
14 years 7 days ago
Type-based categorization of relational attributes
In this work we concentrate on categorization of relational attributes based on their data type. Assuming that attribute type/characteristics are unknown or unidentifiable, we an...
Babak Ahmadi, Marios Hadjieleftheriou, Thomas Seid...
FCSC
2011
413views VLSI» more  FCSC 2011»
12 years 9 months ago
Type-2 fuzzy description logic
Description logics (DLs) are widely employed in recent semantic web application systems. However, classical description logics are limited when dealing with imprecise concepts and ...
Ruixuan Li, Kunmei Wen, Xiwu Gu, Yuhua Li, Xiaolin...
PAKDD
2011
ACM
419views Data Mining» more  PAKDD 2011»
12 years 8 months ago
DISC: Data-Intensive Similarity Measure for Categorical Data
Abstract. The concept of similarity is fundamentally important in almost every scientific field. Clustering, distance-based outlier detection, classification, regression and sea...
Aditya Desai, Himanshu Singh, Vikram Pudi
PR
2006
84views more  PR 2006»
13 years 5 months 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