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`89`	`89`	`* Clusters are well apart from each other as the silhouette score is closer to 1`
`90`	`90`	`* It is a metric used to calculate the goodness of a clustering technique`
`91`	`91`	`* Its value ranges from -1 to 1.`
`92`		`-* 1: Means clusters are well apart from each other and clearly distinguished`
`93`		`-* 0: Means clusters are indifferent, or distance between clusters is not significant`
`94`		`-* -1: Means clusters are assigned in the wrong way`
	`92`	`+1. 1: Means clusters are well apart from each other and clearly distinguished`
	`93`	`+2. 0: Means clusters are indifferent, or distance between clusters is not significant`
	`94`	`+3. -1: Means clusters are assigned in the wrong way`
`95`	`95`
`96`	`96`	`### 16 Disadvantage & Choosing Right Clustering Method (Theory)`
`97`	`97`	`* Disadvantage of each clustering techniques respectively`

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