Iris dataset uci machine learning
5.1,3.5,1.4,0.2,Iris-setosa 4.9,3.0,1.4,0.2,Iris-setosa 4.7,3.2,1.3,0.2,Iris-setosa 4.6,3.1,1.5,0.2,Iris-setosa 5.0,3.6,1.4,0.2,Iris-setosa 5.4,3.9,1.7,0.4,Iris-setosa 4.6 ... , The data set contains 3 classes of 50 instances each, where each class refers to a type of iris plant. One class is linearly separable from the ...,of three helix clusters with different cluster existence spaces, the iris plant dataset and the image segmentation dataset from the UCI Repository of Machine ... ,Originally published at UCI Machine Learning Repository: Iris Data Set, this small dataset from 1936 is often used for testing out machine learning algorithms and ... ,UCI Machine Learning Repository: Iris Data Set.
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Weka 64 位(懷卡托知識分析環境)是用 Java 編寫的流行的機器學習軟件套件。 Weka 是用於數據挖掘任務的機器學習算法的集合。算法可以直接應用於數據集,也可以從您自己的 Java 代碼中調用。 Weka 包含數據預處理,分類,回歸,聚類,關聯規則和可視化的工具。它也非常適合開發新的機器學習方案。 Weka 64 位是 GNU 通用公共許可證下的開源軟件. 注意:需要 Java Runt... Weka (64-bit) 軟體介紹
Iris dataset uci machine learning 相關參考資料
Iris data
5.1,3.5,1.4,0.2,Iris-setosa 4.9,3.0,1.4,0.2,Iris-setosa 4.7,3.2,1.3,0.2,Iris-setosa 4.6,3.1,1.5,0.2,Iris-setosa 5.0,3.6,1.4,0.2,Iris-setosa 5.4,3.9,1.7,0.4,Iris-setosa 4.6 ... https://archive.ics.uci.edu Iris Data Set - UCI Machine Learning Repository
The data set contains 3 classes of 50 instances each, where each class refers to a type of iris plant. One class is linearly separable from the ... http://archive.ics.uci.edu Iris Data Set: Support - UCI Machine Learning Repository
of three helix clusters with different cluster existence spaces, the iris plant dataset and the image segmentation dataset from the UCI Repository of Machine ... http://archive.ics.uci.edu The Iris Dataset · GitHub
Originally published at UCI Machine Learning Repository: Iris Data Set, this small dataset from 1936 is often used for testing out machine learning algorithms and ... https://gist.github.com 安德森鳶尾花卉數據集- 維基百科,自由的百科全書 - Wikipedia
UCI Machine Learning Repository: Iris Data Set. https://zh.wikipedia.org |