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175
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IDEAL
2005
Springer
16 years 19 days ago
Cluster Analysis of High-Dimensional Data: A Case Study
Abstract. Normal mixture models are often used to cluster continuous data. However, conventional approaches for fitting these models will have problems in producing nonsingular es...
Richard Bean, Geoffrey J. McLachlan
195
Voted
IDEAL
2005
Springer
16 years 19 days ago
Differential Priors for Elastic Nets
The elastic net and related algorithms, such as generative topographic mapping, are key methods for discretized dimension-reduction problems. At their heart are priors that specify...
Miguel Á. Carreira-Perpiñán, ...
IDEAL
2005
Springer
16 years 19 days ago
Evolving Neural Networks for the Classification of Malignancy Associated Changes
Malignancy Associated Changes are subtle changes to the nuclear texture of visually normal cells in the vicinity of a cancerous or precancerous lesion. We describe a classifier for...
Jennifer Hallinan
198
Voted
IDEAL
2005
Springer
16 years 19 days ago
SOM-Based Novelty Detection Using Novel Data
Novelty detection involves identifying novel patterns. They are not usually available during training. Even if they are, the data quantity imbalance leads to a low classification ...
Hyoungjoo Lee, Sungzoon Cho
192
Voted
IDEAL
2005
Springer
16 years 19 days ago
A Comparative Study of Two Novel Predictor Set Scoring Methods
Due to the large number of genes measured in a typical microarray dataset, feature selection plays an essential role in tumor classification. In turn, relevance and redundancy are ...
Chia Huey Ooi, Madhu Chetty
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