| [1] | ACM SIGKDD Interna tiona l Conference on Know ledge D iscov ery and DataM in ing. San D iego, USA: ACM Press, 1999: 84-
|
| [2] | [ Nagesh H, Go il S, Choudhary A. Adaptive g rids for c lusteringm assive da ta sets[ C] / / Proceed ing s o f SIAM Internationa lConference
|
| [3] | on DataM in ing. SIAM, 2001: 477- 493.
|
| [4] | [ Ka iling K, K riege lH-P, Kr-ge r P. Density-connected subspace cluster ing for high-d imensional data[ C ] / / Proceed ings of the
|
| [5] | 4th SIAM In ternational Conference on DataM ining. Lake Buena V ia ta, FL, 2004: 246-257.
|
| [6] | [ Agraw a l R, Gehrke J, Gunopulos D. Autom a tic subspace cluster ing of h igh d im ensiona l data fo r data m ining app lications
|
| [7] | [ C] / / Proceed ings o f the 1998 ACM-SIGMOD Interna tiona l Conference onM anagement o f Data. Sea ttle, W ash ing ton: ACM
|
| [8] | Press, 1998, 6: 94-105.
|
| [9] | [ G runwa ld P D. M ode l selection based on m in imum description length[ J]. Journal ofM athem atica l Psycho logy, 2000, 44:
|
| [10] | 133-152.
|
| [11] | [ Cheng C H, Fu A W-C, ZhangY. Entropy-based subspace c luste ring for m in ing num er ica l data[ C] / / Proceed ings of the 5 th
|
| [12] | [ Procopiuc CM, JonesM, Aga rw al P K, et a.l A monte car lo a lgo rithm fo r fast pro jective c luster ing [ C ] / / Proceed ings o f the
|
| [13] | 2002 ACM SIGMOD In ternational Conference onM anag em ent of Data. M ad ison: ACM Press, 2002: 418- 427.
|
| [14] | [ G lom baM, Urszu laM-K. IBUSCA: a gr id-based bo ttom-up subspace cluster ing algor ithm [ C] / / Proceed ing s of the 6 th International
|
| [15] | Conference on Inte lligent Sy stem s Design and Applications. USA: IEEE Compu ter Soc iety, 2006: 671-676.
|
| [16] | [ Agga rwa l C C, Procop iucC, Wo lf J L, et a.l Fast a lgor ithm s for projected c lustering[ C] / / Proceed ings o f the 1999 ACM SIG-MOD International Confe rence onM anagem en t of Data. New York: ACM Press, 1999: 61-72.
|
| [17] | [ Aggarw a lC C, P S Yu. F ind ing genera lized pro jected clusters in h igh d im ensiona l spaces[ C] / / Proceed ing s of the 2000 ACM
|
| [18] | SIGMOD inte rnational con ference onM anagem ent of data. Oallas, Texas: ACM Press, 2000: 70-81.
|
| [19] | [ L iu J, Strohma ierK, W angW. Revea ling true subspace clusters in h igh dim ensions[ C] / / Pro ceedings o f the 4th IEEE Internationa
|
| [20] | l Conference on Da taM ining. USA: IEEE Com puter So ciety, 2004: 463- 466.
|
| [21] | [ UCIM ach ine Learn ing Ropository[ EB /OL] . http: / /a rchive. ics. uc.i edu /m l/m ach ine- lea rning-databases/breast- cancer-w iscons
|
| [22] | [ UCIM ach ine Learn ing Ropository[ EB /OL] . http: / /a rchive. ics. uc.i edu /m l/m ach ine- lea rning-databases/ ir is /.
|
| [23] | [ UCIM ach ine Learn ing Ropository[ EB /OL] . http: / /a rchive. ics. uc.i edu /m l/m ach ine- lea rning-databases/yeast/.
|
| [24] | [ H e J, LanM, Tan C L, e t a.l In itia lization of c luster re finem ent a lgor ithm s: a rev iew and com pa rative study[ C] / / Proceedings
|
| [25] | o f IEEE Internationa l Jo int Conference on Neural Netwo rks. USA: IEEE Com puter So ciety, 2004: 297-302.
|
| [26] | [ Bohm C, Ka iling K, Kr iege lH P, e t a.l Density connected cluster ing w ith local subspace prefe rences[ C ] / / Proceed ings o f
|
| [27] | the 4th IEEE Interna tiona l Conference on Da taM ining. USA: IEEE Com puter Soc iety, 2004: 27-34.
|
