用Python生成连续数据的马尔可夫转移矩阵
我正在探索隐马尔可夫模型（HMM）来分析新病例的序列和新冠病毒-19的繁殖率。我遇到了一个需要为连续数据生成转换矩阵的场景用Python生成连续数据的马尔可夫转移矩阵,python,python-3.x,matlab,markov-chains,markov-models,Python,Python 3.x,Matlab,Markov Chains,Markov Models,我正在探索隐马尔可夫模型（HMM）来分析新病例的序列和新冠病毒-19的繁殖率。我遇到了一个需要为连续数据生成转换矩阵的场景 X = [1.324,1.473,1.778,1.626,1.320,1.102,0.905,0.826,0.770,0.770,0.722,0.767,0.707,0.628,0.589,0.558,0.504, ...] 马尔可夫国家（低、中、高） low->0 low -> 0<=X<=0.5 medium -> 0.5<X<=1
X = [1.324,1.473,1.778,1.626,1.320,1.102,0.905,0.826,0.770,0.770,0.722,0.767,0.707,0.628,0.589,0.558,0.504, ...]
low->0
low -> 0<=X<=0.5
medium -> 0.5<X<=1.5
high -> 1.5<X<=2.0