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MikeSv
MikeSv 2018 年 8 月 29 日
回答済み: Saumya Goel 2018 年 9 月 3 日
Hi everyone.
I just started learning about machine learning and read about various kinds of algorithm. Right now Iam working on a project where I want to compare input features to features stored in a database and I want to find the DB entry that bast matches the new input.
I know that one way to do this is by using the KNN algorithm and measuring the distance between the feature. Now Iam wondering if there other algorithms that can do the same thing so that I can compare their performance?
Thanks in advance,
kind regards,
Michael

回答 (1 件)

Saumya Goel
Saumya Goel 2018 年 9 月 3 日
The effectiveness of the technique depends on the dataset type, so I would suggest you to first try to analyze the type of features available in the dataset.
If you would like to explore the MATLAB features available for supervised learning algorithms, you can go through this link.

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