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Update README.md

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`7`	`7`	`### 02 Clustering (Theory)`
`8`	`8`	`* Definition and Application of Clustering`
`9`		`-* 5 Types: 1.K Means 2.Hierarchical 3.DBScan 4.Gaussian Mixture & 5.T-SNE`
	`9`	`+* 4 methods: 1.K Means 2.Hierarchical 3.DBScan & 4.Gaussian Mixture`
`10`	`10`
`11`	`11`	`### 03 Euclidean & Manhattan Distance (Theory)`
`12`	`12`	`* Two points are near to each other, chances they are similar`

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