# Cluster rows Model / cluster k-means, hierarchical, DBSCAN, other clustering of rows Page: ## Status Not built yet. arcform does not do this yet. [Its place on the roadmap](https://meridian.online/roadmap#cluster-rows) ## Variants - Cluster rows by density: Find clusters as dense regions of rows, without fixing their number, and leave sparse rows as noise. - Build a hierarchy of clusters: Merge or split rows step by step into a tree of clusters, then cut the tree to get a flat clustering. - Other clustering methods: Cluster rows by methods outside the main families, such as support vector clustering or neighbourgrams. - Partition rows into a set number of clusters: Assign each row to one of a chosen number of clusters by nearest centre, as k-means and k-medoids do. - [Give each row a membership per cluster](https://meridian.online/operations/cluster-rows/give-each-row-a-membership-per-cluster): Score every row's degree of membership in every cluster instead of assigning it to one. ## What other tools call it Meridian's classification; an independent blind rating agreed on 86.2% of 312 rows (exact class, version 2). - Alteryx Designer: [`K-Centroids Cluster Analysis`](https://help.alteryx.com/current/en/designer/tools/predictive-grouping/k-centroids-cluster-analysis-tool.html) (read 2026-09-27) - KNIME Analytics Platform: [`Fuzzy c-Means`](https://api.hub.knime.com/nodes/*eKnxs53FkU9CuBKg?details=full) (read 2026-09-27) - KNIME Analytics Platform: [`Hierarchical Clustering`](https://api.hub.knime.com/nodes/*bN6RlRwKS4ZRaUvF?details=full) (read 2026-09-27) - KNIME Analytics Platform: [`KNIME Neighborgram & ParUni (extension)`](https://api.hub.knime.com/extensions/org.knime.features.neighborgram) (read 2026-09-27) - KNIME Analytics Platform: [`SOTA Learner`](https://api.hub.knime.com/nodes/*qSAVjsLn8P2dtSZs?details=full) (read 2026-09-27) - KNIME Analytics Platform: [`k-Means`](https://api.hub.knime.com/nodes/*LAZMqELcN3J67vNv?details=full) (read 2026-09-27) - mlpack: [`MeanShift`](https://www.mlpack.org/doc/user/modeling.html) (read 2026-09-27) - mlpack: [`mlpack_dbscan`](https://www.mlpack.org/doc/user/bindings/cli.html) (read 2026-09-27) - mlpack: [`mlpack_gmm_train`](https://www.mlpack.org/doc/user/bindings/cli.html) (read 2026-09-27) - mlpack: [`mlpack_kmeans`](https://duckdb.org/community_extensions/extensions/mlpack) (read 2026-09-27) - mlpack: [`mlpack_kmeans`](https://www.mlpack.org/doc/user/bindings/cli.html) (read 2026-09-27) - RapidMiner Studio: [`Agglomerative Clustering`](https://docs.rapidminer.com/latest/studio/operators/modeling/segmentation/agglomerative_clustering.html) (read 2026-09-27) - RapidMiner Studio: [`DBSCAN`](https://docs.rapidminer.com/latest/studio/operators/modeling/segmentation/dbscan_apache.html) (read 2026-09-27) - RapidMiner Studio: [`Flatten Clustering`](https://docs.rapidminer.com/latest/studio/operators/modeling/segmentation/flatten_clustering.html) (read 2026-09-27) - RapidMiner Studio: [`K-Medoids`](https://docs.rapidminer.com/latest/studio/operators/modeling/segmentation/k_medoids.html) (read 2026-09-27) - RapidMiner Studio: [`Random Clustering`](https://docs.rapidminer.com/latest/studio/operators/modeling/segmentation/random_clustering.html) (read 2026-09-27) - RapidMiner Studio: [`Support Vector Clustering`](https://docs.rapidminer.com/latest/studio/operators/modeling/segmentation/support_vector_clustering.html) (read 2026-09-27) - RapidMiner Studio: [`Top Down Clustering`](https://docs.rapidminer.com/latest/studio/operators/modeling/segmentation/top_down_clustering.html) (read 2026-09-27) - RapidMiner Studio: [`X-Means`](https://docs.rapidminer.com/latest/studio/operators/modeling/segmentation/x_means.html) (read 2026-09-27) - RapidMiner Studio: [`k-Means`](https://docs.rapidminer.com/latest/studio/operators/modeling/segmentation/k_means.html) (read 2026-09-27) - RapidMiner Studio: [`k-Means (H2O)`](https://docs.rapidminer.com/latest/studio/operators/modeling/segmentation/kmeans.html) (read 2026-09-27) - RapidMiner Studio: [`k-Means (Kernel)`](https://docs.rapidminer.com/latest/studio/operators/modeling/segmentation/k_means_kernel.html) (read 2026-09-27) - RapidMiner Studio: [`k-Means (fast)`](https://docs.rapidminer.com/latest/studio/operators/modeling/segmentation/fast_k_means.html) (read 2026-09-27) - Talend: [`tKMeansModel`](https://help.qlik.com/talend/en-US/components/8.0/machine-learning/machine-learning-component) (read 2026-09-27) - Talend: [`tKMeansStrModel`](https://help.qlik.com/talend/en-US/components/8.0/machine-learning/machine-learning-component) (read 2026-09-27)