By Pascal Poncelet; Maguelonne Teisseire; Florent Masseglia
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Extra resources for Data mining patterns
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2005), is to introduce an algorithm for feature selection that clusters attributes using a special metric, and then use a hierarchical clustering for feature selection. Hierarchical algorithms generate clusters that are placed in a cluster tree, which is commonly known as a dendrogram. Clusterings are obtained by extracting those clusters that are situated at a given height in this tree. We show that good classifiers can be built by using a small number of attributes located at the centers of the clusters identified in the dendrogram.
Data mining patterns by Pascal Poncelet; Maguelonne Teisseire; Florent Masseglia