k-nearest neighbors
algorithm
Overview
Use caseclassification and regression in machine learning
Technical
Protocols
Integrates with
Also see
Based oninstance-based learning
Knowledge graph stats
Claims13
Avg confidence92%
Avg freshness100%
Last updatedUpdated 13 days ago
WikidataQ523716
Trust distribution
100% unverified
k-nearest neighbors
concept
Algorithm for finding the k closest data points to a given query point
Compare with...integrates with
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| scikit-learn | ○Unverified | High | Fresh | 1 |
| NumPy | ○Unverified | High | Fresh | 1 |
| TensorFlow | ○Unverified | Moderate | Fresh | 1 |
supports protocol
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| Euclidean distance | ○Unverified | High | Fresh | 1 |
| Manhattan distance | ○Unverified | High | Fresh | 1 |
primary use case
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| classification and regression in machine learning | ○Unverified | High | Fresh | 1 |
| pattern recognition | ○Unverified | High | Fresh | 1 |
requires
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| distance computation methods | ○Unverified | High | Fresh | 1 |
based on
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| instance-based learning | ○Unverified | High | Fresh | 1 |
| distance metrics and lazy learning | ○Unverified | High | Fresh | 1 |
alternative to
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| decision trees | ○Unverified | Moderate | Fresh | 1 |
| support vector machines | ○Unverified | Moderate | Fresh | 1 |
| naive Bayes classifier | ○Unverified | Moderate | Fresh | 1 |