# How different initialization of centroids of K-means results in drastic different clusters ? They all share common cost function

**URL:** <https://community.deeplearning.ai/t/how-different-initialization-of-centroids-of-k-means-results-in-drastic-different-clusters-they-all-share-common-cost-function/223900>\
**Category:** Unsupervised Learning, Recommenders, Reinforcement\
**Tags:** week-module-1\
**Created:** [October 29, 2022, 7:01am UTC](https://community.deeplearning.ai/t/how-different-initialization-of-centroids-of-k-means-results-in-drastic-different-clusters-they-all-share-common-cost-function/223900 "2022-10-29T07:01:22Z")\
**Posts on this page:** 1\
**Showing post:** 5

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**Author:** ![Christian\_Simonis](https://sea1.discourse-cdn.com/dlai/user_avatar/community.deeplearning.ai/christian_simonis/32/142583_2.png) [@Christian\_Simonis](https://community.deeplearning.ai/u/Christian_Simonis)\
**Post date:** [October 29, 2022, 9:58am UTC](https://community.deeplearning.ai/t/how-different-initialization-of-centroids-of-k-means-results-in-drastic-different-clusters-they-all-share-common-cost-function/223900/5 "2022-10-29T09:58:49Z")

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In addition, solvers like ADAM [Adaptive Moment Estimation] utilize „Momentum“ of the optimization trajectory to overcome local minima in order to get to the **global optimum** eventually.

![](https://global.discourse-cdn.com/dlai/original/3X/9/6/965bf974f378c9eee2ddc326a26c3ca6bb469567.gif)  
Best  
Christian

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