Exemplo n.º 1
0
        /// <summary>
        /// 对一维数组中的数进行分类
        /// </summary>
        /// <param name="ary"></param>
        /// <param name="groups"></param>
        /// <param name="groups_id"></param>
        /// <param name="span_of_isolate">分类的距离 可取1.0/类别数,此值越小类别越多</param>
        /// <param name="num_of_cells">划分cell的数量,可取类别数*10,此值影响分类的准确性,小到一定值就行</param>
        /// <returns></returns>
        public static bool classify(List <double> ary,
                                    out List <List <double> > groups,
                                    out List <List <int> > groups_id,
                                    double span_of_isolate = 0.3,
                                    int num_of_cells       = 100)
        {
            groups    = new List <List <double> >();
            groups_id = new List <List <int> >();
            if (ary.Count == 0)
            {
                return(false);
            }
            //归一化ary
            List <object> al = new List <object>();

            foreach (object item in ary)
            {
                al.Add(item);
            }
            double        minv = (double)MyStatistic.min(al);
            double        maxv = (double)MyStatistic.max(al);
            List <double> ary1 = new List <double>();//归一化后的数组

            foreach (double item in ary)
            {
                ary1.Add((item - minv) / (maxv - minv));
            }

            //计算参数
            int    Nc = num_of_cells;
            double Wc = 1.0 / Convert.ToDouble(Nc);

            int[] pinshu = new int[Nc];//频数数组
            for (int i = 0; i < Nc; i++)
            {
                pinshu[i] = 0;
            }

            //计算频数数组
            foreach (double item in ary1)
            {
                for (int i = 0; i < Nc; i++)
                {
                    if (item <= (i + 1) * Wc)
                    {
                        pinshu[i] += 1;
                        break;
                    }
                }
            }

            //计算分隔值
            int           Siso           = (int)(span_of_isolate / Wc);
            int           last_zero      = 0;
            List <double> isolate_values = new List <double>();//存放分隔值

            for (int i = 0; i < Nc; i++)
            {
                if (pinshu[i] > 0)
                {
                    if (i - last_zero > Siso)
                    {
                        //是分隔值
                        isolate_values.Add((last_zero + 1) * Wc);
                        last_zero = i + 1;
                    }
                    else
                    {
                        last_zero = i + 1;
                    }
                }
            }

            //利用计算得出的分隔值 分组

            for (int i = 0; i < isolate_values.Count + 1; i++)
            {
                //groups的长度=分隔值+1
                groups.Add(new List <double>());
                groups_id.Add(new List <int>());
            }
            if (isolate_values.Count == 0)//如果没有找到分割 需要单独处理
            {
                //输入即为输出
                for (int i = 0; i < ary1.Count; i++)
                {
                    groups[0].Add(ary[i]);
                    groups_id[0].Add(i);
                }
                return(true);
            }
            for (int i = 0; i < ary1.Count; i++)
            {
                double value = ary1[i];
                for (int j = 0; j < isolate_values.Count; j++)
                {
                    if (value < isolate_values[j])
                    {
                        groups[j].Add(ary[i]);
                        groups_id[j].Add(i);
                        break;
                    }
                    else
                    {
                        if (j == isolate_values.Count - 1)
                        {
                            //由于分隔值始终会小于最大的value 这时候放到第count+1
                            groups[isolate_values.Count].Add(ary[i]);
                            groups_id[isolate_values.Count].Add(i);
                        }
                    }
                }
            }
            return(true);
        }
Exemplo n.º 2
0
        /// <summary>
        /// 求平均
        /// 要求实现+  , 与数相乘 否则抛出错误
        /// </summary>
        /// <param name="lst"></param>
        /// <returns></returns>
        public static object avg(List <object> lst)
        {
            object rt = MyStatistic.sum(lst);

            return((dynamic)rt * (1.0 / (double)lst.Count));
        }