2022
DOI: 10.1007/s10489-022-03895-5
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EDCWRN: efficient deep clustering with the weight of representations and the help of neighbors

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Cited by 6 publications
(3 citation statements)
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“…In the experiments, such as (Luz et al 2021 ; Yousri et al 2021 ; Hashemzadeh et al 2019 ; Golzari Oskouei et al 2021a , 2021b , 2022 ; Aria et al 2022b ; Golzari Oskouei and Hashemzadeh 2022 ; Wang et al 2021 ; Ghaderzadeh et al 2022 ), we use Accuracy , Precision , Recall , F1 , and Specificity criteria to evaluate the algorithms. These evaluation criteria are shown in Eqs.…”
Section: Methodsmentioning
confidence: 99%
“…In the experiments, such as (Luz et al 2021 ; Yousri et al 2021 ; Hashemzadeh et al 2019 ; Golzari Oskouei et al 2021a , 2021b , 2022 ; Aria et al 2022b ; Golzari Oskouei and Hashemzadeh 2022 ; Wang et al 2021 ; Ghaderzadeh et al 2022 ), we use Accuracy , Precision , Recall , F1 , and Specificity criteria to evaluate the algorithms. These evaluation criteria are shown in Eqs.…”
Section: Methodsmentioning
confidence: 99%
“…Tese metrics are defned in equations ( 12)- (15). In these equations, TP stands for true positive, FP represents false positive, TN stands for true negative, and FN represents false negative [41,42]. [43] are used as keywords to collect 20,127 sentiment sentences with two classes (positive, negative), named the "Binary_Getty" (BG) dataset, which includes textual explanations and labels.…”
Section: Evaluation Criteriamentioning
confidence: 99%
“…Equation ( 4) illustrates these evaluation criteria, where TP, FN, TN, and FN stand for True Positive, False Positive, True Negative, and False Negative, respectively. Accuracy is defined as the number of samples classified correctly divided by the number of all samples [37][38][39].…”
Section: Evaluation Criteriamentioning
confidence: 99%