【单选题】 “ Clustering, ” a brainstorming technique, is often used to ___________. 【单选题】 “ Clustering, ” a brainstorming technique, is often used to ___________.
【单选题】 “ Clustering, ” a brainstorming technique, is often used to ___________. 【单选题】 “ Clustering, ” a brainstorming technique, is often used to ___________.
when clustering,what is the most important thing?()
when clustering,what is the most important thing?()
聚类(Clustering)是一种重要的监督机器学习方法。
聚类(Clustering)是一种重要的监督机器学习方法。
What could be the methods when you are generating ideas?( ) A: brainstorming B: freewriting C: clustering
What could be the methods when you are generating ideas?( ) A: brainstorming B: freewriting C: clustering
基于高斯混合模型Gaussianmixturemodels(GMMs)的聚类Clustering有时被看作()方法。
基于高斯混合模型Gaussianmixturemodels(GMMs)的聚类Clustering有时被看作()方法。
A rhythm group contains more than one stressed syllable, together with unstressed syllables clustering about it or none.
A rhythm group contains more than one stressed syllable, together with unstressed syllables clustering about it or none.
Which of the following is NOT the prewriting strategy mentioned in this part? A: free writing B: brainstorming C: clustering D: revising
Which of the following is NOT the prewriting strategy mentioned in this part? A: free writing B: brainstorming C: clustering D: revising
DBSCAN(Density-Based Spatial Clustering ...样本空间中发现任意形状的聚类并排除噪点。
DBSCAN(Density-Based Spatial Clustering ...样本空间中发现任意形状的聚类并排除噪点。
Identify the following prewriting technique. [img=520x289]1803078e374eea8.jpg[/img] A: Listing B: Clustering C: Other (Strategic Questions) D: Not given
Identify the following prewriting technique. [img=520x289]1803078e374eea8.jpg[/img] A: Listing B: Clustering C: Other (Strategic Questions) D: Not given
The clustering problem belongs to which subfield of machine learning A: Supervised learning B: Unsupervised learning C: Semi-supervised learning D: Deep learning
The clustering problem belongs to which subfield of machine learning A: Supervised learning B: Unsupervised learning C: Semi-supervised learning D: Deep learning