This Node Is Deprecated — This version of the node has been replaced with a new and improved version. The old version is kept for backwards-compatibility, but for all new workflows we suggest to use the version linked below.
Go to Suggested ReplacementK Nearest Neighbor (Distance Function)Classifies a set of test data based on the k Nearest Neighbor algorithm
using the training data.
Note that for the Euclidean distance on numeric columns the other K Nearest Neighbor node performs better as it uses an efficient index structure. The implementation of this node performs an exhaustive search of all points to all potential neighbors and is therefore suited for small to medium data sets only.
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Popular Predecessors
K Nearest Neighbor16 %- Mahalanobis Distance10 %
- Bit Vector Distances6 %
- String Distances6 %
- Distance Matrix Calculate4 %
- Matrix Distance4 %
- Aggregated Distance3 %
File Reader3 %- X-Partitioner3 %
- Random Forest Distance3 %
Scorer3 %- Column Filter3 %
Color Appender3 %- Normalizer (Apply)2 %
- Color Manager2 %
- Java Distance2 %
- Normalizer2 %
CSV Reader1 %- Byte Vector Distances1 %
- Split Collection Column1 %
Excel Reader (XLS)1 %Vocabulary Extractor (legacy)< 1 %- Bootstrap Sampling< 1 %
- Row Filter< 1 %
- Missing Value< 1 %
- k-Means< 1 %
- Create Bit Vector< 1 %
Number To String< 1 %- Row Splitter< 1 %
- GroupBy< 1 %
K Nearest Neighbor (Distance Function)< 1 %Excel Reader (XLS)< 1 %- Column Splitter< 1 %
- Similarity Search< 1 %
- Geo Distances< 1 %
- Table Creator< 1 %
- Linear Regression Learner< 1 %
- Domain Calculator< 1 %
- Equal Size Sampling< 1 %
- Weka Predictor (3.7)< 1 %
- Parameter Optimization Loop Start< 1 %
Naive Bayes Learner< 1 %- Distance Matrix Pair Extractor< 1 %
- Constant Value Column< 1 %
- String Manipulation< 1 %
- Fuzzy c-Means< 1 %
- Correlation Filter< 1 %
XLS Reader< 1 %- Word Vector Apply (legacy)< 1 %
- Topic Extractor (Parallel LDA)< 1 %
- ARFF Reader< 1 %
Model Reader< 1 %- DBSCAN< 1 %
PCA Compute< 1 %- SMOTE< 1 %
- Double to Integer< 1 %
Joiner< 1 %- Row Sampling< 1 %
- k-Medoids< 1 %
- Math Formula< 1 %
- Fingerprints< 1 %
- Fingerprints Expander< 1 %
Tree Ensemble Predictor< 1 %- Random Forest Learner (Regression)< 1 %
- Constant Value Column Filter< 1 %
- Round Double< 1 %
Database Reader< 1 %- Column List Loop Start< 1 %
- PNN Predictor< 1 %
PCA< 1 %- Column Aggregator< 1 %
Column Appender< 1 %Linear Correlation< 1 %- Partitioning< 1 %
Column Rename< 1 %- RowID< 1 %
- Shuffle< 1 %
- Unpivot< 1 %
- Value Counter< 1 %
- Rule-based Row Filter< 1 %
- Molecule Type Cast< 1 %
- Numeric Distances< 1 %
- TF< 1 %
- N Chars Filter< 1 %
- Table View (JavaScript)< 1 %
Date Extractor< 1 %- Uniquify IDs< 1 %
- Association Rule Learner< 1 %
Random Forest Learner< 1 %Random Forest Predictor< 1 %- Tree Ensemble Statistics< 1 %
- Auto-Binner (Apply)< 1 %
- Column Auto Type Cast< 1 %
- Missing Value Column Filter< 1 %
- Reference Row Filter< 1 %
- Missing Value (Apply)< 1 %
- Rule-based Row Splitter< 1 %
- Cache< 1 %
- Extract Table Dimension< 1 %
- Crosstab< 1 %
- Geo-Coordinate Row Filter< 1 %
- Vocabulary Extractor (legacy)< 1 %
- Neighbor Filter< 1 %
- Node Adjacency Matrix< 1 %
- Multiobjective Subset Selection (NSGA-II)< 1 %
- String to Date&Time< 1 %
- Date/Time Shift (legacy)< 1 %
- Moving Aggregator< 1 %
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