基于重叠社区划分的大群体共识决策方法
田章朋， 梁鹤鸣， 聂如欣， 王晓康… - 电子科技大学学报社科 …, 2024 - social.uestc.edu.cn
… [Citation Format] TIAN Zhang-peng, LIANG He-ming, NIE Ru-xin, et al. Large-scale group
consensus decision-making method based on overlapping community division[J]. Journal of …
consensus decision-making method based on overlapping community division[J]. Journal of …
熱帶氣旋生成類型及其增強速率之探討
鍾明翰 - 2023 - tdr.lib.ntu.edu.tw
… inner side increases, limiting the probability of wind speed inside RMW surpassing … method
is developed by the K-means clustering algorithm (MacQueen 1967; Teng et al. 2020) based …
is developed by the K-means clustering algorithm (MacQueen 1967; Teng et al. 2020) based …
[PDF][PDF] 生物系統從序列到結構與功能之計算研究---子計畫三: 利用核糖核酸結構預測與核糖核酸-蛋白質互動關係分析推論蛋白質結構(III)
胡毓志 - 2007 - ir.lib.nycu.edu.tw
… the cluster size and a new search for the fittest consensus … size, we apply the k-means
algorithm to the input data … called “3D-regulogs” to large scale infer protein-DNA binding partners …
algorithm to the input data … called “3D-regulogs” to large scale infer protein-DNA binding partners …
自适应多密度峰值子簇融合聚类算法.
陈迪， 杜韬， 周劲， 仵匀政… - Journal of Computer …, 2023 - search.ebscohost.com
… K-Means是一种经典的基于划分的聚类算法,首先随机 … is used to reduce the probability of the
occurrence of chain effects. … CMvSC: knowledge transferring based deep consensus network …
occurrence of chain effects. … CMvSC: knowledge transferring based deep consensus network …
[PDF][PDF] 基因調控網路之組合型重建(III)
胡毓志 - 2007 - ir.lib.nycu.edu.tw
… of consensus pattern or matrix-based search in a large amount … probability of element
conservation in expression clusters … , minimum spanning tree algorithm and k-means algorithm [22]…
conservation in expression clusters … , minimum spanning tree algorithm and k-means algorithm [22]…
[PDF][PDF] [國科會專題研究計畫] 以精實供應鏈成員觀點探討環境劇變下供應鏈回復力之關鍵影響因子
謝承憲 - 2014 - 140.131.84.163
… Experts built a consensus in nine vulnerability factors such … increasing the probability for
choosing TTSB services based on … divided into four groups based on K-means clustering. The “…
choosing TTSB services based on … divided into four groups based on K-means clustering. The “…
DynaPho: 由磷酸化蛋白質體資料推論動態化生物訊息
王建凱 - 2015 - tdr.lib.ntu.edu.tw
… and then merges consensus clustering results from different algorithms [42]. Follow the …
analyze the correlation probabilities between the temporal profile and kinase clusters. In each …
analyze the correlation probabilities between the temporal profile and kinase clusters. In each …
[PDF][PDF] QSAR 與虛擬藥物篩選之研究(III)
楊進木 - 2007 - ir.lib.nycu.edu.tw
… a new cluster method for clustering candidate compounds and … consensus scoring criteria
and provided a consensus … by using k-means and hierarchical clustering methods according to …
and provided a consensus … by using k-means and hierarchical clustering methods according to …
[PDF][PDF] ISTANBUL TECHNICAL UNIVERSITY 击GRADUATE SCHOOL
G AKYÜN - 2023 - polen.itu.edu.tr
… , etc.) in a dataset and is based on methods such as Markov-inspired stochastic, k-means,
self-… [58] and probability distribution [59] based modeling methods. In addition to these, hybrid …
self-… [58] and probability distribution [59] based modeling methods. In addition to these, hybrid …
[HTML][HTML] 融合隐式信任与属性偏好的群组推荐算法
边纪超， 庞继芳， 宋鹏 - 南京大学学报(自然科学版), 2023 - jns.nju.edu.cn
… 因此,本文选择K⁃means 聚类来自动生成群组. … incorporating user trust with probability matrix
factorization. Computer … Consensus reaching for so⁃ cial network group decision making by …
factorization. Computer … Consensus reaching for so⁃ cial network group decision making by …