Data stream clustering by divide and conquer approach based on vector model

Journal of Big Data

Table 2 One way ANOVA test for multiple comparisons

(I) Clustering methods	(J) Clustering methods	Mean difference (I-J)	Std. Error	Sig.	95 % Confidence interval
(I) Clustering methods	(J) Clustering methods	Mean difference (I-J)	Std. Error	Sig.	Lower bound	Upper bound
DCSTREAM	ConStream	.20615 ^*	.05246	.001	.0799	.3324
DCSTREAM	STREAM	.33713 ^*	.05246	.000	.2109	.4634
ConStream	DCSTREAM	−.20615^*	.05246	.001	−.3324	−.0799
ConStream	STREAM	.13098 ^*	.05246	.040	.0048	.2572
STREAM	DCSTREAM	−.33713^*	.05246	.000	−.4634	−.2109
STREAM	ConStream	−.13098^*	.05246	.040	−.2572	−.0048