Mean Shift is another clustering algorithm that doesn't require an estimate for the number of clusters. It has been successfully applied to image processing. The algorithm tries to iteratively find the maxima of a density function. Before demonstrating mean shift, we will average the rain data on a day-of-the-year basis using a pandas
DataFrame. Create the
DataFrame and average its data as follows:
df = pd.DataFrame.from_records(x.T, columns=['dates', 'rain']) df = df.groupby('dates').mean() df.plot()
The following plot is the result:
Cluster the data with the mean shift algorithm as follows:
x = np.vstack((np.arange(1, len(df) + 1) , df.as_matrix().ravel())) ...