A Novel Long- and Short-Term Memory Network with Time Series Data Analysis Capabilities

Table 5

Clustering results using different dimensionality reduction techniques.

Dataset	Index	No dimensionality reduction	Maximum pooling technology	Average pooling technology
Adiac	Acc	0.6477	0.7012	0.7097
	F-score	0.6039	0.6594	0.6686
Beef	Acc	0.5787	0.7658	0.8110
	F-score	0.6452	0.8356	0.7874
CBF	Acc	0.6212	0.8423	0.8724
	F-score	0.5644	0.7790	0.8289
ChlorineCon	Acc	0.5456	0.5478	0.6887
	F-score	0.5238	0.5276	0.6510
CinCECGTorso	Acc	0.5998	0.6212	0.6854
	F-score	0.5485	0.5645	0.5938
Coffee	Acc	0.6335	0.6021	0.6882
	F-score	0.6186	0.5897	0.7245