Factor analysis is applied to identify the dimensions of traveling motivation, and K-Means Cluster Analysis is employed to classify the tourists. The results are more objective, accurate, and applicable.
本研究针对城市居民总体出游活动进行动机调查,运用因子分析方法识别出游动机维度,运用聚类分析将出游者分类,结论更加客观、精确,其普适性更加广泛。
参考来源 - 旅游驱动力研究·2,447,543篇论文数据，部分数据来源于NoteExpress
I use mathematical statistics analysis, such as confidence intervals, hypothesis testing, K-means Cluster, regression analysis and so on.
运用置信区间分析、假设检验、聚类分析、回归分析等数理统计分析方法。
In cluster analysis, Fuzzy K-Means (FKM) algorithm is one of the most widely used methods. However, FKM algorithm is much more sensitive to the initialization, and easy to fall into local optimum.
在聚类分析中，模糊k均值算法是目前应用最为广泛的方法之一，然而该算法对初始化敏感，容易陷入局部极值点。
Clustering analysis has been used in many field of life. K-Means cluster is classic partitioning Clustering.
聚类分析已经被广泛地应用于生活中的各个领域。
应用推荐