Third column is the label. 
Aggregation
N=788, M=7, D=2 
Aggregation: txt
Gionis, A., H. Mannila, and P. Tsaparas, Clustering aggregation. ACM Transactions on Knowledge Discovery from Data (TKDD), 2007. 1(1): p. 1-30.
Compound
N=399, M=6, D=2 
Compound: txt
Zahn, C.T., Graph-theoretical methods for detecting and describing gestalt clusters. IEEE Transactions on Computers, 1971. 100(1): p. 68-86. 
Pathbased
N=300, M=3, D=2 
Pathbased: txt
Chang, H. and D.Y. Yeung, Robust path-based spectral clustering. Pattern Recognition, 2008. 41(1): p. 191-203. 
Spiral
N=312, M=3, D=2 
Spiral: txt
Chang, H. and D.Y. Yeung, Robust path-based spectral clustering. Pattern Recognition, 2008. 41(1): p. 191-203. 
D31
N=3100, M=31, D=2 
D31: txt
Veenman, C.J., M.J.T. Reinders, and E. Backer, A maximum variance cluster algorithm. IEEE Trans. Pattern Analysis and Machine Intelligence 2002. 24(9): p. 1273-1280. 
R15
N=600, M=15, D=2 
R15: txt
Veenman, C.J., M.J.T. Reinders, and E. Backer, A maximum variance cluster algorithm. IEEE Trans. Pattern Analysis and Machine Intelligence, 2002. 24(9): p. 1273-1280. 
Jain
N=373, M=2, D=2 
Jain: txt
Jain, A. and M. Law, Data clustering: A user's dilemma. Lecture Notes in Computer Science, 2005. 3776: p. 1-10. 
Flame
N=240, M=2, D=2 
Flame: txt
Fu, L. and E. Medico, FLAME, a novel fuzzy clustering method for the analysis of DNA microarray data. BMC bioinformatics, 2007. 8(1): p. 3.