Can any one tell me what is the difference between k-means classification and svm classification?

K-means is a clustering algorithm and not classification method. On the other hand, SVM is a classification method. We do clustering when we don't have class labels and perform classification when we have class labels. Clustering is a unsupervised learning technique and classification is a supervised learning technique. Therefore, comparing both of them are comparing apple and oranges. You should read the following to understand their difference - Shehroz Khan's answer to Is supervised learning commonly carried out after clustering?