List of clustering recommendation techniques.

Table 10: List of clustering recommendation techniques.

Techniques	REF#	Algorithm	Features/Specifications	population	Functional	Non-Functional
Clustering-Recommendation	[FS1]	k-means	QoS credibility, CF, PCC, User clustering, Service clustering	QoS	-	+
	[FS17]	HAC	Data sparsity, Clustering QoS prediction, PCC, User similarity	QoS	-	+
	[FS4]	HAC	Personalized recommendation, CF, Users location, PCC	QoS	-	+
	[FS3]	k-means	NLP, Tag recommendation, NGD, Tag relevance	WSDL	+	-
	[FS9][FS26]	k-means	QoS recommendation, Matrix factorization, Location based	QoS	-	+
	[FS20]	k-means	PCC, Cosine, Euclidean distance, CF, customers clustering	WS	+	-
	[FS21]	HAC	WordNet, Cosine, TFIDF, Matrix factorization	OWL-S	+	-
	[FS30]	k-means	RCM, Cosine, CF, PCC, WordNet, QoS prediction	QoS, WS	+	+
	[FS11]	k-means	CluCF, PCC, Data sparsity, Location user clustering	QoS	-	+
	[FS46]	k-means	Mining web services, Heterogonous feature selection	WSDL, Tags	+	-
	[FS40]	HAC	Real time QoS, PCC, User clustering, Qos predication	QoS	-	+
	[FS49]	HAC, SASKS	Hybrid Term Similarity, Euclidean distance,	WSDL, OWL-S	+	+
	[FS50]	Fuzzy C-Means	PCC, Matrix factorization, NGD	QoS, WSDL	+	+
	[FS57]	HAC	Tag recommendation, SVM, Jaccard, Active learning	Text	+	-