Multimodal Feature Fusion Based Hypergraph Learning Model

Table 2

Classification performance of single modal hypergraph model.

Datasets	Feature extraction method	Accuracy	Precision	Recall	F1
Cat & Dog	PHA	0.552	0.554	0.574	0.563
	SIFT	0.658	0.660	0.663	0.661
	HSIFT	0.669	0.674	0.678	0.675
	VGG	0.958	0.960	0.957	0.958
	ResNet	0.960	0.961	0.958	0.959
	HVGG	0.963	0.962	0.963	0.962
	RVGG	0.965	0.965	0.965	0.965
Ctrip	Jaccard	0.508	0.505	0.513	0.508
	TF-IDF	0.603	0.609	0.613	0.610
	LSI	0.608	0.612	0.620	0.615
	Word2vec	0.639	0.748	0.651	0.696
	Doc2vec	0.651	0.870	0.657	0.748