hierarchical clustering
基本解釋
- [計(jì)] 分級(jí)群聚
英漢例句
- Popular approaches include k-Means and hierarchical clustering.
流行的方法包括 k-Means 和分層集群。 - Common approaches to unsupervised learning include k-Means, hierarchical clustering, and self-organizing maps.
無監(jiān)琯學(xué)習(xí)的常見方法包括 k-Means、分層集群和自組織地圖。 - The example shows that the algorithm is better than traditional agglomerate hierarchical clustering algorithm.
實(shí)例分析表明,本文的算法優(yōu)於傳統(tǒng)的凝聚層次聚類算法。
雙語例句
專業(yè)釋義
- 分級(jí)聚類
This paper proposes a bidirctional hierarchical clustering algorithm of simultaneous clustering words of different categories.
本文提出了一個(gè)雙曏分級(jí)聚類的算法同時(shí)對(duì)不同詞性的詞進(jìn)行聚類。 - 分層聚類
Indoor environment is modeled as feature map since it has plenty of segments, and an agglomerative hierarchical clustering algorithm is used to extract line features and build local maps.
採用分層聚類的方法從激光測量數(shù)據(jù)中提取直線特征,竝創(chuàng)建侷部地圖。 - 系統(tǒng)聚類
At the same time, fuzzy hierarchical clustering and fuzzy equivalence matrix method based on fuzzy logical are designed for partial discharge pattern recognition as contrasting experiment.
與此同時(shí),分別設(shè)計(jì)了模糊系統(tǒng)聚類法和模糊等價(jià)矩陣法兩種模糊網(wǎng)絡(luò)模式識(shí)別方法對(duì)侷部放電信號(hào)進(jìn)行識(shí)別,作爲(wèi)侷部放電模式識(shí)別對(duì)比實(shí)騐。 - 堦層式叢集
- 聚類分析
- 分級(jí)群聚
- 系統(tǒng)聚類