Maintain confidentiality, privacy and security research in data mining (PPDM) is one of the biggest trends. Recent advances in data collection, data dissemination and related technologies have inaugurated a new era of research where existing data mining algorithms should be reconsidered from a different point of view, this of privacy preservation. We propose a simple PCA based transformation approach for various datasets to preserve privacy and maintain accuracy based on clustering. A privacy soil, the proposal to convert the data into nature, conservation saves. The accuracy of clustering before and after privacy preserving transformation was estimated.