def Get_Prime_GpsData(filepath_name): Latitude, Longitude = np.loadtxt(filepath_name, dtype=float, delimiter=',', skiprows=1, usecols=(0, 1), unpack=True) data = np.loadtxt(filepath_name, dtype=float, delimiter=',', skiprows=1, usecols=(0, 1), unpack=False) drewgps(Latitude, Longitude) gpsdata = RS_Kalman(Latitude, Longitude, 3, 3) labels, centers = multiple_cluster.science_cluster( gpsdata, num=5, cutoff_distance=0.000087, experience=0.000045) print len(centers) labels1, centers1 = multiple_cluster.science_cluster( data, num=10, cutoff_distance=0.000087, experience=0.000045) print len(centers1) #gpsdata=RS_Kalman(data,3,3) print gpsdata Lat = KalmanFilterGPS(Latitude) Long = KalmanFilterGPS(Longitude) #drewgps(Latitude,Long) t = [gpsdata[i][1] for i in range(len(gpsdata))] return Longitude, t
def Get_Prime_GpsData(filepath_name): Latitude,Longitude=np.loadtxt(filepath_name,dtype=float,delimiter=',',skiprows=1,usecols=(0,1),unpack=True) data=np.loadtxt(filepath_name,dtype=float,delimiter=',',skiprows=1,usecols=(0,1),unpack=False) drewgps(Latitude,Longitude) gpsdata=RS_Kalman(Latitude,Longitude,3,3) labels,centers=multiple_cluster.science_cluster(gpsdata,num=5,cutoff_distance=0.000087,experience=0.000045) print len(centers) labels1,centers1=multiple_cluster.science_cluster(data,num=10,cutoff_distance=0.000087,experience=0.000045) print len(centers1) #gpsdata=RS_Kalman(data,3,3) print gpsdata Lat=KalmanFilterGPS(Latitude) Long=KalmanFilterGPS(Longitude) #drewgps(Latitude,Long) t=[gpsdata[i][1] for i in range(len(gpsdata))] return Longitude,t
def science_cluster_semanstic(filepath): gps_semantic = np.loadtxt(filepath, dtype=float, delimiter=',', skiprows=1, usecols=(0, 1), unpack=False) labels, centers = multiple_cluster.science_cluster( gps_semantic, num=10, cutoff_distance=0.000526754031788, experience=0.00031) #print(len(gps_semantic)) #print(len(labels)) return labels, centers
def science_cluster_semanstic(filepath): gps_semantic=np.loadtxt(filepath,dtype=float,delimiter=',',skiprows=1,usecols=(0,1),unpack=False) labels,centers=multiple_cluster.science_cluster(gps_semantic,num=10,cutoff_distance = 0.000526754031788,experience = 0.00031) #print(len(gps_semantic)) #print(len(labels)) return labels,centers