Maybe you are using the wrong algorithm for your problem.
K-means is highly sensitive to preprocessing. If one attribute is on a much larger scale than the others, it will dominate the output. Your output will then be effectively 1-dimensional
Whatever you do, you need to validate your results by something other than starting at a number such as SSQ. Instead, consider visualization.
Visualization may also tell you that maybe there is only a single cluster in your data.