Partitions data into clusters by proximity. Cluster *ordering* in
Berbeza daripada rujukan .wl: `FindClusters` without an explicit cluster count
FindClusters[{e1, e2, …}]
FindClusters[{e1 -> v1, e2 -> v2, …}]
FindClusters[data, n]
FindClusters[{1, 1, 2, 2, 10, 11, 12, 13}]
→ \{\{(1, 1, 2, 2\}, \{10, 11, 12, 13|10, 11, 12, 13\}, \{1, 1, 2, 2)\}\} (regex)- CriterionFunction — default Automatic
- DistanceFunction — default Automatic
- FeatureExtractor — default Identity
- FeatureNames — default Automatic
- FeatureTypes — default Automatic
- Method — default Automatic
- MissingValueSynthesis — default Automatic
- PerformanceGoal — default Automatic
- RandomSeeding — default 1234
- Weights — default Automatic