Table 4.

Unsupervised Techniques results.

Dataset	Technique	Metrics					References
		ARI	Jaccard Index	Silhouette Index	Euclidean	F1 Fisher’s Discriminant Ratio
UCI HAR SmartPhone	K-means	0.7727	0.3246	0.4416			[130]
	HAC	0.4213	0.2224	0.5675
	FCM	0.8343	0.4052	0.4281
UCI HAR Single Chest-Mounted Accelerometer	K-means	0.8850	0.6544	0.6935
	HAC	0.5996	0.2563	0.6851
	FCM	0.9189	0.7230	0.7751
Nottingham Trent University	FCM	-	-	-	-		[136]
Chest Sensor Dataset	PM Model			25.8%	-		[137]
Wrist Sensor Dataset				64.3%	-
WISDM Dataset				54%	-
Smartphone Dataset				85%	-
DSAD	wavelet tensor fuzzy clustering scheme (WTFCS)	0.8966	-	-	-		[138]
UCI HAR	Spectral Clustering		0.543		0.583		[139]
	Single Linkage		0.807		0.851
	Ward Linkage		0.770		0.810
	Average Linkage		0.790		0.871
	K-medioids		0.653		0.654
UCI HAR	K-means					52.1	[140]
	K-Means 5					50.7
	Spectral Clustering					57.8
	Gaussian Mixture					49.8
	DBSCAN					16.4
CADL	K-means					50.9
	K-Means 5					50.5
	Spectral Clustering					61.9
	Gaussian Mixture					58.9
	DBSCAN					13.9