Search Results
Search type | Search syntax |
---|---|
Tags | [tag] |
Exact | "words here" |
Author |
user:1234 user:me (yours) |
Score |
score:3 (3+) score:0 (none) |
Answers |
answers:3 (3+) answers:0 (none) isaccepted:yes hasaccepted:no inquestion:1234 |
Views | views:250 |
Code | code:"if (foo != bar)" |
Sections |
title:apples body:"apples oranges" |
URL | url:"*.example.com" |
Saves | in:saves |
Status |
closed:yes duplicate:no migrated:no wiki:no |
Types |
is:question is:answer |
Exclude |
-[tag] -apples |
For more details on advanced search visit our help page |
An algorithm is a set of one or more computations that will produce a calculated result. All statistics methods are algorithms. Algorithms can be simple, such as calculating a percentage, or can be very complex and require a computer for fast and accurate results.
1
vote
2
answers
452
views
How do I select the "best" unsupervised machine learning algorithm to cluster my specific da...
For different algorithms (i.e. k-means, gmm...) I can iterate through different values and try to find the best solution for any given algorithm (i.e. ellbow-curve, silhouette-coefficient etc.). … But I get very different results - as expected with different algorithms. K-Means is good for spherical clusters, density-based approaches for totally different cluster shapes. …