点模型聚类算法参考文献：K-Means++, DBSCAN 等

当涉及到点模型的聚类算法时，以下是一些相关的参考文献：

Arthur, D., & Vassilvitskii, S. (2007). k-means++: The advantages of careful seeding. Proceedings of the eighteenth annual ACM-SIAM symposium on Discrete algorithms, 1027-1035.
Xu, R., & Wunsch, D. (2005). Survey of clustering algorithms. IEEE Transactions on Neural Networks, 16(3), 645-678.
Jain, A. K. (2010). Data clustering: 50 years beyond K-means. Pattern Recognition Letters, 31(8), 651-666.
MacQueen, J. (1967). Some methods for classification and analysis of multivariate observations. Proceedings of the fifth Berkeley symposium on mathematical statistics and probability, 1(14), 281-297.
Ester, M., Kriegel, H. P., Sander, J., & Xu, X. (1996). A density-based algorithm for discovering clusters in large spatial databases with noise. Proceedings of the Second International Conference on Knowledge Discovery and Data Mining, 226-231.

这些文献涵盖了一些经典的聚类算法，如 k-means++, DBSCAN 等。它们提供了聚类算法的原理、优缺点以及在点模型上的应用。希望这些参考文献对您有所帮助！