Data Mining of Acupoint Characteristics from the Classical Medical Text: DongUiBoGam of Korean Medicine

Figure 2

The matrix. In this matrix, each acupoint (sample) is represented by a vector of weights of 25 patterns in the three pattern identification categories (feature). To compare acupoints in the vector space, the tf-idf weights of each acupoint were normalized for the same length by the cosine normalization (). The 43 acupoints are presented on the x-axis of the array. The most frequently used acupoints were CV4 and CV6 (16 times each), ST36 (13 times), and SP6 and CV3 (12 times each). On the y-axis in Figure 2, 25 patterns are presented. The three pattern identification categories are shown in different colors on the y-axis (green: five essential components of the human body; yellow: viscera and bowels; orange: internal damage and external contractions).