# Distance Functions Expansion

**URL:** <https://forum.knime.com/t/distance-functions-expansion/6159>\
**Category:** KNIME Analytics Platform\
**Created:** [July 13, 2014, 11:01pm UTC](https://forum.knime.com/t/distance-functions-expansion/6159 "2014-07-13T23:01:19Z")\
**Posts on this page:** 3\
**Page:** 1

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**Author:** ![richards99](https://forum-cdn.knime.com/user_avatar/forum.knime.com/richards99/32/48547_2.png) [@richards99](https://forum.knime.com/u/richards99)\
**Post date:** [July 13, 2014, 11:01pm UTC](https://forum.knime.com/t/distance-functions-expansion/6159/1 "2014-07-13T23:01:19Z")

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With the new Distance Functions process allowing this to be defined earlier with these nodes and subsequently applied to k-Medoids and Hierarchical Clustering, is there a possibility for this to be extended to other clustering techniques such as the following, assuming the algorithms for these are compatible that is;

- Fuzzy c-Means

- k-Means.

- SOTA Learner.

&nbsp;

&nbsp;Thanks

Simon.

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**Author:** ![Aaron\_Hart](https://forum-cdn.knime.com/user_avatar/forum.knime.com/aaron_hart/32/7814_2.png) [@Aaron\_Hart](https://forum.knime.com/u/Aaron_Hart)\
**Post date:** [July 17, 2014, 10:21am UTC](https://forum.knime.com/t/distance-functions-expansion/6159/2 "2014-07-17T10:21:21Z")

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Hi Simon,&nbsp;

I am told these algorithms are not easily adaptable to work with distance matricies, but rumor has it that there is a DBSCAN implementation in the works which should be quite handy.

http://en.wikipedia.org/wiki/DBSCAN

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**Author:** ![system](https://forum-cdn.knime.com/uploads/default/original/1X/ab3ccf34482a0329361734a18199390177204f15.png) [@system](https://forum.knime.com/u/system)\
**Post date:** [June 23, 2023, 8:22pm UTC](https://forum.knime.com/t/distance-functions-expansion/6159/3 "2023-06-23T20:22:55Z")

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