A Big Data-Driven Approach to Analyze the Influencing Factors of Enterprise’s Technological Innovation

Table 2

The performance comparison between improved K-means algorithm based on semantic and traditional K-means algorithm.

K Value	SSE		Silhouette coefficient
	Traditional K-means algorithm based on bag-of-word model	Improved K-means algorithm based on semantic similarity and relatedness	Traditional K-means algorithm based on bag-of-word model	Improved K-means algorithm based on semantic similarity and relatedness
3	683.2779	672.4002	0.075280	0.363640
4	671.9479	577.2000	0.081084	0.355436
5	667.6426	532.9228	0.028152	0.352955
6	668.5414	519.1228	0.072469	0.355115
7	660.5026	461.7781	0.064319	0.328729
8	645.9339	385.5498	0.075842	0.352197
9	654.0991	392.1088	0.071101	0.362227
10	632.2624	373.0217	0.018480	0.344523

When the value of K equals 8, the improved K-means algorithm and the traditional K-means algorithm have a relatively higher value.