Advances, Systems and Applications
From: Privacy-aware and Efficient Student Clustering for Sport Training with Hash in Cloud Environment
Random vector | Hash table 1 | Hash table 2 |
---|---|---|
\(\phi _1\) | (0.1, 0.4, -0.5, 0.3, -0.8, -0.6, 0.4, 0.3) | (-0.1, 0.5, -0.3, 0.5, -0.7, -0.6, 0.2, 0.2) |
\(\phi _2\) | (-0.7, 0.2, 0.4, -0.3, 0.5, 0.2, -0.9, -0.5) | (-0.8, 0.3, -0.5, 0.2, -0.9, -0.6, 0.4, 0.1) |
\(\phi _3\) | (-0.2, 0.8, -0.6, 0.7, -0.3, -0.9, 0.5, 0.2) | (0.6, 0.3, -0.7, 0.8, -0.1, -0.3, 0.7, 0.3) |
\(y_1 = v(s_1) * \phi\) | (-2.4, -1.5, -0.9) | (-2.4, -8.4, 3.4) |
\(y_2 = v(s_2) * \phi\) | (1.6, -7, 3.5) | (1.4, -4.1, 8.6) |
\(y_3 = v(s_3) * \phi\) | (-2.4, -2.7, 1.5) | (-1.3, -6.1, 6.6) |
\(y_1\) | (0, 0, 0) | (0, 0, 1) |
\(y_2\) | (1, 0, 1) | (1, 0, 1) |
\(y_3\) | (0, 0, 1) | (0, 0, 1) |