  In this paper an approach based on expectation maximization (EM) clustering
to find the climate regions and a support vector machine to build a predictive
model for each of these regions is proposed. To minimize the biases in the
estimations a ten cross fold validation is adopted both for obtaining clusters
and building the predictive models. The EM clustering could identify all the
zones as per the Koppen classification over Indian region. The proposed
strategy when employed for predicting temperature has resulted in an RMSE of
$1.19$ in the Montane climate region and $0.89$ in the Humid Sub Tropical
region as compared to $2.9$ and $0.95$ respectively predicted using k-means and
linear regression method.
