#2. DBSCAN Example | DBSCAN Clustering Algorithm Solved Example in machine learning by Mahesh Huddar

[@zubairkhan-khan3567]

Thankyou so much for such a incredible series✨.

[@MaheshHuddar]

You're so welcome! Do like share and subscribe

[@37_arghadeeppani7]

Great

[@krishnamalladi435]

Sir in example 1 you had taken the less valu...for threshold..but in this example you had taken the greater value...how do we konw sir which value to be taken either less or greater

[@MaheshHuddar]

In first example we calculated the distance, there we need to select the minimum distance In second example we have used similarity Matrix, hence we need to use highest similarity value

[@krishnamalladi435]

@@MaheshHuddar ok sir thank you 😊

[@getsomespeed4753]

​@@MaheshHuddarsir how we will create similarity matrix please make a video on it

[@svinaykumar1581]

​@@getsomespeed4753 use a formula 1 - Dissimilarity matrix means subtract every values of dissimilarity from 1 you will get the similarity matrix

[@fintech1378]

is similarity matrix the same with covariance matrix?

[@MaheshHuddar]

The Covariance Matrix indicates the extent to which two or more variables differ. The Similarity Matrix shows the extent to which they are related.