乳腺组织数据集，可用于预测原始6类或4类的分类

Data Set Information: 阻抗测量在以下频率下进行：15.625、31.25、62.5、125、250、500和1000 KHz 在以下频率下对新鲜切除的乳腺组织进行阻抗测量：15.625,31.25,62.5,125,250,500,1000 KHz。绘制在（实-虚）平面上的这些测量值构成了阻抗谱，从中计算乳腺组织特征。 该数据集可用于预测原始6类或4类的分类，方法是将鉴别不重要的纤维腺瘤、乳腺病和腺体类合并在一起（无论如何都无法准确鉴别）。 Attribute Information: I0 Impedivity (ohm) at zero frequency PA500 phase angle at 500 KHz HFS high-frequency slope of phase angle DA impedance distance between spectral ends AREA area under spectrum A/DA area normalized by DA MAX IP maximum of the spectrum DR distance between I0 and real part of the maximum frequency point P length of the spectral curve Class car(carcinoma), fad (fibro-adenoma), mas (mastopathy), gla (glandular), con (connective), adi (adipose). The Relevant Papers: Jossinet J (1996) Variability of impedivity in normal and pathological breast tissue. Med. & Biol. Eng. & Comput, 34: 346-350. Silva JE, Marques de Sá JP, Jossinet J (2000) Classification of Breast Tissue by Electrical Impedance Spectroscopy. Med & Bio Eng & Computing, 38:26-30. Citation Request: Please refer to the Machine Learning Repository's citation policy JP Marques de Sá, INEB-Instituto de Engenharia Biomédica, Porto, Portugal; e-mail: jpmdesa '@' gmail.com J Jossinet, inserm, Lyon, France