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IDA
2009
Springer
13 years 5 months ago
Context-Based Distance Learning for Categorical Data Clustering
Abstract. Clustering data described by categorical attributes is a challenging task in data mining applications. Unlike numerical attributes, it is difficult to define a distance b...
Dino Ienco, Ruggero G. Pensa, Rosa Meo
SDM
2009
SIAM
225views Data Mining» more  SDM 2009»
14 years 4 months ago
Integrated KL (K-means - Laplacian) Clustering: A New Clustering Approach by Combining Attribute Data and Pairwise Relations.
Most datasets in real applications come in from multiple sources. As a result, we often have attributes information about data objects and various pairwise relations (similarity) ...
Fei Wang, Chris H. Q. Ding, Tao Li
CIDM
2007
IEEE
14 years 1 months ago
Mining Subspace Correlations
— In recent applications of clustering such as gene expression microarray analysis, collaborative filtering, and web mining, object similarity is no longer measured by physical ...
Rave Harpaz, Robert M. Haralick
ITCC
2005
IEEE
14 years 1 months ago
Mining Biomedical Images with Density-Based Clustering
Density-based clustering algorithms have recently gained popularity in the data mining field due to their ability to discover arbitrary shaped clusters while preserving spatial pr...
M. Emre Celebi, Y. Alp Aslandogan, Paul R. Bergstr...
TKDE
2002
133views more  TKDE 2002»
13 years 7 months ago
ImageMap: An Image Indexing Method Based on Spatial Similarity
We introduce ImageMap, as a method for indexing and similarity searching in Image DataBases (IDBs). ImageMap answers "queries by example", involving any number of object...
Euripides G. M. Petrakis, Christos Faloutsos, King...