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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
JOCN
2010
84views more  JOCN 2010»
13 years 2 months ago
The Neural Basis for Spatial Relations
Studies in semantics traditionally focus on knowledge of objects. By contrast, less is known about how objects relate to each other. In an fMRI study, we tested the hypothesis tha...
Prin X. Amorapanth, Page Widick, Anjan Chatterjee
ICMCS
2007
IEEE
180views Multimedia» more  ICMCS 2007»
13 years 7 months ago
Content-Based Image Categorization and Retrieval using Neural Networks
We propose a neural network based method for organizing images for content-based image retrieval. We use spectral histogram features, the histograms of filtered images to capture...
Yuhua Zhu, Xiuwen Liu, Washington Mio
ANSS
1998
IEEE
13 years 11 months ago
On Interval Weighted Three-Layer Neural Networks
In solving application problems, the data sets used to train a neural network may not be hundred percent precise but within certain ranges. Representing data sets with intervals, ...
Mohsen Beheshti, Ali Berrached, André de Ko...
TKDE
2002
141views more  TKDE 2002»
13 years 7 months ago
Algorithms for Finding Attribute Value Group for Binary Segmentation of Categorical Databases
We consider the problem of finding a set of attribute values that give a high quality binary segmentation of a database. The quality of a segmentation is defined by an objective fu...
Yasuhiko Morimoto, Takeshi Fukuda, Takeshi Tokuyam...