First, a fixed-dimensional feature vector is generated for each protein sequence using the frequency of the hydropathy blocks occurring in the sequence. 首先，利用蛋白質(zhì)序列中親水模塊的出現頻率，每條蛋白質(zhì)序列被轉換為一個(gè)特征向量。
It outperforms much better than the other two in that it calculates and maximizes the feature vector distance between multi-modal clusters in a hyper-sphere space. 該方法能計算并最大化高維空間中的多模式聚集特征向量距離，由于具有滿(mǎn)足三角不等式和非奇性的特性，相對于其他兩種方法，它提高了檢測性能。
