**Yes. The dataset already has a natural segmentation: `Species`, which has three balanced groups of 50 flowers each.** The gold table `Iris_by_Species` shows the groups are distinguished mostly by petal size. **How the three groups differ** - **Iris-setosa** is cleanly separate. - Its petal length averages 1.46 cm, with a maximum of 1.9 cm. - Its petal width averages 0.24 cm, with a maximum of 0.6 cm. - The next-smallest group, versicolor, has a minimum petal length of 3.0 cm and a minimum petal width of 1.0 cm. No setosa flower overlaps with the other two on petal dimensions, so a simple petal threshold isolates it (for example, petal length under about 2.5 cm). - **Iris-versicolor and Iris-virginica** are ordered but partly overlapping. - Versicolor petal length averages 4.26 cm (range 3.0–5.1) and virginica averages 5.55 cm (range 4.5–6.9). The overlap is roughly 4.5–5.1 cm. - Petal width averages 1.33 cm for versicolor (range 1.0–1.8) and 2.03 cm for virginica (range 1.4–2.5). The overlap is roughly 1.4–1.8 cm. - The medians (4.35 vs 5.55 cm for petal length) are well apart, so a petal threshold would classify most of these two groups correctly but not all. - **Sepal measurements separate the groups poorly.** - Sepal length ranges overlap heavily: versicolor is 4.9–7.0 cm and virginica is 4.9–7.9 cm. - Sepal width is the weakest separator. The averages are 2.77, 2.97 and 3.42 cm, and the ranges overlap almost entirely, with setosa even reaching down to 2.3 cm. **Practical takeaways** - A natural two-level structure exists: setosa versus the rest, then versicolor versus virginica. - Segmenting on petal length and petal width together, by species label or by clustering, will recover the groups best. Sepal width adds little. - Petal size alone is enough to separate setosa. A multivariate model, or at least both petal measures together, is needed to cleanly split versicolor from virginica. I haven't run a clustering algorithm or counted exactly how many flowers fall inside the overlapping ranges. The overlap findings rest on per-species min, max and median values from the gold table.