A new method for feature selection is proposed. The method associates a weight with each feature by minimising an appropriate index defined in terms of similarity between patterns of the training set. The weight measures the importance of the corresponding feature in characterising the classes. Features associated with low weights are considered irrelevant and therefore eliminated. Experimental results to confirm the validity of the method are shown.
机构:
Indian Stat Inst, Machine Intelligence Unit, Calcutta 700035, W Bengal, IndiaIndian Stat Inst, Machine Intelligence Unit, Calcutta 700035, W Bengal, India
Basak, J
;
De, RK
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Indian Stat Inst, Machine Intelligence Unit, Calcutta 700035, W Bengal, IndiaIndian Stat Inst, Machine Intelligence Unit, Calcutta 700035, W Bengal, India
De, RK
;
Pal, SK
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机构:
Indian Stat Inst, Machine Intelligence Unit, Calcutta 700035, W Bengal, IndiaIndian Stat Inst, Machine Intelligence Unit, Calcutta 700035, W Bengal, India
机构:
Indian Stat Inst, Machine Intelligence Unit, Calcutta 700035, W Bengal, IndiaIndian Stat Inst, Machine Intelligence Unit, Calcutta 700035, W Bengal, India
Basak, J
;
De, RK
论文数: 0引用数: 0
h-index: 0
机构:
Indian Stat Inst, Machine Intelligence Unit, Calcutta 700035, W Bengal, IndiaIndian Stat Inst, Machine Intelligence Unit, Calcutta 700035, W Bengal, India
De, RK
;
Pal, SK
论文数: 0引用数: 0
h-index: 0
机构:
Indian Stat Inst, Machine Intelligence Unit, Calcutta 700035, W Bengal, IndiaIndian Stat Inst, Machine Intelligence Unit, Calcutta 700035, W Bengal, India