-
1
-
-
0347172110
-
OPTICS: Ordering points to identify the clustering structure
-
ANKERST, M., BREUNIG, M. M., KRIEGEL, H.-P., AND SANDER, J. 1999. OPTICS: Ordering points to identify the clustering structure. In Proceedings of the ACM SIGMOD Conference, 49-60.
-
(1999)
Proceedings of the ACM SIGMOD Conference
, pp. 49-60
-
-
Ankerst, M.1
Breunig, M.M.2
Kriegel, H.-P.3
Sander, J.4
-
2
-
-
0000835612
-
The grand tour: A tool for viewing multidimensional
-
ASIMOV, D. 1985. The grand tour: A tool for viewing multidimensional. SIAM J. Sci. Statistical Comput. 6, 1, 128-143.
-
(1985)
SIAM J. Sci. Statistical Comput.
, vol.6
, Issue.1
, pp. 128-143
-
-
Asimov, D.1
-
4
-
-
0002368671
-
The New Jersey data reduction report
-
BARBARÁ, D., DUMOUCHEL, W., FALOUTSOS, C., HAAS, P. J., HELLERSTEIN, J. M., IOANNIDIS, Y. E., JAGADISH, H. V., JOHNSON, T., NG, R. T., POOSALA, V., ROSS, K. A., AND SEVCIK, K. C. 1997. The New Jersey data reduction report. IEEE Data Eng. Bull. 20, 4, 3-45.
-
(1997)
IEEE Data Eng. Bull.
, vol.20
, Issue.4
, pp. 3-45
-
-
Barbará, D.1
Dumouchel, W.2
Faloutsos, C.3
Haas, P.J.4
Hellerstein, J.M.5
Ioannidis, Y.E.6
Jagadish, H.V.7
Johnson, T.8
Ng, R.T.9
Poosala, V.10
Ross, K.A.11
Sevcik, K.C.12
-
5
-
-
84953806973
-
Scaling clustering algorithms to large databases
-
BRADLEY, P. S., FAYYAD, U. M., AND REINA, C. 1998. Scaling clustering algorithms to large databases. In Proceedings of the ACM SIGKDD Conference, 9-15.
-
(1998)
Proceedings of the ACM SIGKDD Conference
, pp. 9-15
-
-
Bradley, P.S.1
Fayyad, U.M.2
Reina, C.3
-
7
-
-
84996178668
-
VISTA: Validating and refining clusters via visualization
-
CHEN, K. AND LIU, L. 2004b. VISTA: Validating and refining clusters via visualization. Inf. Visualization 3, 4, 257-270.
-
(2004)
Inf. Visualization
, vol.3
, Issue.4
, pp. 257-270
-
-
Chen, K.1
Liu, L.2
-
10
-
-
84952217916
-
Grand tour and projection pursuit
-
COOK, D., BUJA, A., CABRERA, J., AND HURLEY, C. 1995. Grand tour and projection pursuit. J. Comput. Graphical Statistics 23, 155-172.
-
(1995)
J. Comput. Graphical Statistics
, vol.23
, pp. 155-172
-
-
Cook, D.1
Buja, A.2
Cabrera, J.3
Hurley, C.4
-
12
-
-
0027029929
-
Scater/Gather: A cluster-based approach to browsing large document collections
-
CUTTING, D. R., KARGER, D. R., PEDERSEN, J. O., AND TUKEY, J. W. 1992. Scater/Gather: A cluster-based approach to browsing large document collections. In Proceedings of the ACM SIGIR Conference, 318-329.
-
(1992)
Proceedings of the ACM SIGIR Conference
, pp. 318-329
-
-
Cutting, D.R.1
Karger, D.R.2
Pedersen, J.O.3
Tukey, J.W.4
-
13
-
-
0000580934
-
Visualizing class structure of multidimensional data
-
DHILLON, I. S., MODHA, D. S., AND SPANGLER, W. S. 1998. Visualizing class structure of multidimensional data. In Proceedings of the 30th Symposium on the Interface: Computing Science and Statistics 30, 488-493.
-
(1998)
Proceedings of the 30th Symposium on the Interface: Computing Science and Statistics
, vol.30
, pp. 488-493
-
-
Dhillon, I.S.1
Modha, D.S.2
Spangler, W.S.3
-
14
-
-
0018655613
-
Validity studies in clustering methodologies
-
DUBES, R. C. AND JAIN, A. K. 1979. Validity studies in clustering methodologies. Pattern Recogn. Lett., 235-254.
-
(1979)
Pattern Recogn. Lett.
, pp. 235-254
-
-
Dubes, R.C.1
Jain, A.K.2
-
15
-
-
85170282443
-
A density-based algorithm for discovering clusters in large spatial databases with noise
-
ESTER, M., KRIEGEL, H.-P., SANDER, J., AND XU, X. 1996. A density-based algorithm for discovering clusters in large spatial databases with noise. In Proceedings of the 2nd International Conference on Knowledge Discovery and Data Mining, 226-231.
-
(1996)
Proceedings of the 2nd International Conference on Knowledge Discovery and Data Mining
, pp. 226-231
-
-
Ester, M.1
Kriegel, H.-P.2
Sander, J.3
Xu, X.4
-
16
-
-
84976803260
-
FastMap: A fast algorithm for indexing, data-mining and visualization of traditional and multimedia datasets
-
FALOUTSOS, C. AND LIN, K.-I. D. 1995. FastMap: A fast algorithm for indexing, data-mining and visualization of traditional and multimedia datasets. In Proceedings of the ACM SIGMOD Conference, 163-174.
-
(1995)
Proceedings of the ACM SIGMOD Conference
, pp. 163-174
-
-
Faloutsos, C.1
Lin, K.-I.D.2
-
17
-
-
84945709355
-
An algorithm for finding best matches in logarithmic expected time
-
FREIDMAN, J. H., BENTLEY, J. L., AND FINKEL, R. A. 1977. An algorithm for finding best matches in logarithmic expected time. ACM Trans. Math. Softw. 3, 3, 209-226.
-
(1977)
ACM Trans. Math. Softw.
, vol.3
, Issue.3
, pp. 209-226
-
-
Freidman, J.H.1
Bentley, J.L.2
Finkel, R.A.3
-
20
-
-
0032091595
-
CURE: An efficient clustering algorithm for large databases
-
GUHA, S., RASTOGI, R., AND SHIM, K. 1998. CURE: An efficient clustering algorithm for large databases. In Proceedings of the ACM SIGMOD Conference, 73-84.
-
(1998)
Proceedings of the ACM SIGMOD Conference
, pp. 73-84
-
-
Guha, S.1
Rastogi, R.2
Shim, K.3
-
21
-
-
0034228041
-
ROCK: A robust clustering algorithm for categorical attributes
-
GUHA, S., RASTOGI, R., AND SHIM, K. 2000. ROCK: A robust clustering algorithm for categorical attributes. Inf. Syst. 25, 5, 345-366.
-
(2000)
Inf. Syst.
, vol.25
, Issue.5
, pp. 345-366
-
-
Guha, S.1
Rastogi, R.2
Shim, K.3
-
22
-
-
0141860731
-
Cluster validity methods: Part I and II
-
HALKIDI, M., BATISTAKIS, Y., AND VAZIRGIANNIS, M. 2002. Cluster validity methods: Part I and II. SIGMOD Record 31, 2, 40-45.
-
(2002)
SIGMOD Record
, vol.31
, Issue.2
, pp. 40-45
-
-
Halkidi, M.1
Batistakis, Y.2
Vazirgiannis, M.3
-
23
-
-
85140527321
-
An efficient approach to clustering in large multimedia databases with noise
-
HINNEBURG, A. AND KEIM, D. A. 1998. An efficient approach to clustering in large multimedia databases with noise. In Proceedings of the ACM SIGKDD Conference, 58-65.
-
(1998)
Proceedings of the ACM SIGKDD Conference
, pp. 58-65
-
-
Hinneburg, A.1
Keim, D.A.2
-
24
-
-
33746822268
-
Visual mining of high-dimensional data
-
HINNEBURG, A., KEIM, D. A., AND WAWRYNIUK, M. 1999. Visual mining of high-dimensional data. IEEE Comput. Graphics Appl., 1-8.
-
(1999)
IEEE Comput. Graphics Appl.
, pp. 1-8
-
-
Hinneburg, A.1
Keim, D.A.2
Wawryniuk, M.3
-
25
-
-
0031355787
-
DNA visual and analytic data mining
-
HOFFMAN, P., GRINSTEIN, G., MARX, K., GROSSE, I., AND STANLEY, E. 1997. DNA visual and analytic data mining. IEEE Visualization, 437-442.
-
(1997)
IEEE Visualization
, pp. 437-442
-
-
Hoffman, P.1
Grinstein, G.2
Marx, K.3
Grosse, I.4
Stanley, E.5
-
28
-
-
84893405732
-
Data clustering: A review
-
JAIN, A. K. AND DUBES, R. C. 1999. Data clustering: A review. ACM Comput. Surv. 31, 264-323.
-
(1999)
ACM Comput. Surv.
, vol.31
, pp. 264-323
-
-
Jain, A.K.1
Dubes, R.C.2
-
29
-
-
0035788895
-
Visualizing multidimensional clusters, trends, and outliers using star coordinates
-
KANDOGAN, E. 2001. Visualizing multidimensional clusters, trends, and outliers using star coordinates. In Proceedings of the ACM SIGKDD Conference, 107-116.
-
(2001)
Proceedings of the ACM SIGKDD Conference
, pp. 107-116
-
-
Kandogan, E.1
-
30
-
-
0032686723
-
Chameleon: Hierarchical clustering using dynamic modeling
-
KARYPIS, G., HAN, E.-H. S., AND KUMAR, V. 1999. Chameleon: Hierarchical clustering using dynamic modeling. IEEE Comput. 32, 8, 68-75.
-
(1999)
IEEE Comput.
, vol.32
, Issue.8
, pp. 68-75
-
-
Karypis, G.1
Han, E.-H.S.2
Kumar, V.3
-
31
-
-
0042262063
-
Visual exploration of large data sets
-
KEIM, D. 2001. Visual exploration of large data sets. ACM Commun. 44, 8, 38-44.
-
(2001)
ACM Commun.
, vol.44
, Issue.8
, pp. 38-44
-
-
Keim, D.1
-
32
-
-
0242592090
-
Why a diagram is (sometimes) worth ten thousand words
-
LARKIN, J. AND SIMON, H. 1987. Why a diagram is (sometimes) worth ten thousand words. Cognitive Sci. 11, 65-99.
-
(1987)
Cognitive Sci.
, vol.11
, pp. 65-99
-
-
Larkin, J.1
Simon, H.2
-
33
-
-
0025548590
-
Exploring n-dimensional databases
-
LEBLANC, J., WARD, M. O., AND WITTELS, N. 1990. Exploring n-dimensional databases. In Proceedings of the IEEE Conference on Visualization, 230-239.
-
(1990)
Proceedings of the IEEE Conference on Visualization
, pp. 230-239
-
-
Leblanc, J.1
Ward, M.O.2
Wittels, N.3
-
34
-
-
0036649291
-
Clustering for approximate similarity search in high-dimensional spaces
-
LI, C., CHANO, E., GARCIA-MOLINA, H., AND WIEDERHOLD, G. 2002. Clustering for approximate similarity search in high-dimensional spaces. IEEE Trans. Knowledge Data Eng. 14, 4, 792-808.
-
(2002)
IEEE Trans. Knowledge Data Eng.
, vol.14
, Issue.4
, pp. 792-808
-
-
Li, C.1
Chano, E.2
Garcia-Molina, H.3
Wiederhold, G.4
-
35
-
-
0020915025
-
Using the GLYPH concept to create user-definable display formats
-
LITTLEFIELD, R. J. 1983. Using the GLYPH concept to create user-definable display formats. National Comput. Graphics Association, 697-706.
-
(1983)
National Comput. Graphics Association
, pp. 697-706
-
-
Littlefield, R.J.1
-
36
-
-
0003602164
-
-
Kluwer Academic, Boston, MA
-
LIU, H. AND MOTODA, H. 1998. Feature Extraction, Construction and Selection: A Data Mining Perspective. Kluwer Academic, Boston, MA.
-
(1998)
Feature Extraction, Construction and Selection: A Data Mining Perspective
-
-
Liu, H.1
Motoda, H.2
-
37
-
-
0242698067
-
The learning-curve sampling method applied to model-based clustering
-
MEEK, C., THIESSON, B., AND HECKERMAN, D. 2002. The learning-curve sampling method applied to model-based clustering. J. Mach. Learn. Research 2, 397-418.
-
(2002)
J. Mach. Learn. Research
, vol.2
, pp. 397-418
-
-
Meek, C.1
Thiesson, B.2
Heckerman, D.3
-
38
-
-
0038718854
-
The structure and function of complex networks
-
NEWMAN, M. E. 2003. The structure and function of complex networks. SIAM Rev., 167-256.
-
(2003)
SIAM Rev.
, pp. 167-256
-
-
Newman, M.E.1
-
39
-
-
0040438433
-
Density biased sampling: An improved method for data mining and clustering
-
PALMER, C. AND FALOUTSOS, C. 2000. Density biased sampling: An improved method for data mining and clustering. In Proceedings of the ACM SIGMOD Conference, 82-92.
-
(2000)
Proceedings of the ACM SIGMOD Conference
, pp. 82-92
-
-
Palmer, C.1
Faloutsos, C.2
-
40
-
-
25844491690
-
A distributed approach to node clustering in decentralized peer-to-peer networks
-
Sept.
-
RAMASWAMY, L., GEDIK, B., AND LIU, L. Sept. 2005. A distributed approach to node clustering in decentralized peer-to-peer networks. IEEE Trans. Parallel Distrib. Syst. 16, 9, 1-16.
-
(2005)
IEEE Trans. Parallel Distrib. Syst.
, vol.16
, Issue.9
, pp. 1-16
-
-
Ramaswamy, L.1
Gedik, B.2
Liu, L.3
-
42
-
-
84963901492
-
Interactive Internet search through automatic clustering: An empirical study
-
ROUSSINOV, D., TOLLE, K., RAMSEY, M., AND CHEN, H. 1999. Interactive Internet search through automatic clustering: An empirical study. In Proceedings of the ACM SIGIR Conference, 289-290.
-
(1999)
Proceedings of the ACM SIGIR Conference
, pp. 289-290
-
-
Roussinov, D.1
Tolle, K.2
Ramsey, M.3
Chen, H.4
-
44
-
-
0036645183
-
Interactively exploring hierarchical clustering results
-
SEO, J. AND SHNEIDERMAN, B. 2002. Interactively exploring hierarchical clustering results. IEEE Comput. 35, 7, 80-86.
-
(2002)
IEEE Comput.
, vol.35
, Issue.7
, pp. 80-86
-
-
Seo, J.1
Shneiderman, B.2
-
46
-
-
0003052357
-
Wavecluster: A multiresolution clustering approach for very large spatial databases
-
SHEKHOLESLAMI, G., CHATTERJEE, S., AND ZHANG, A. 1998. Wavecluster: A multiresolution clustering approach for very large spatial databases. In Proceedings of the Very Large Databases Conference (VLDB), 428-439.
-
(1998)
Proceedings of the Very Large Databases Conference (VLDB)
, pp. 428-439
-
-
Shekholeslami, G.1
Chatterjee, S.2
Zhang, A.3
-
47
-
-
84998044282
-
Inventing discovery tools: Combining information visualization with data mining
-
SHNEIDERMAN, B. 2002. Inventing discovery tools: Combining information visualization with data mining. Inf. Visualization 1, 5-12.
-
(2002)
Inf. Visualization
, vol.1
, pp. 5-12
-
-
Shneiderman, B.1
-
49
-
-
0003557270
-
-
Brooks/Cole Publishing, Pacific Grove, CA
-
SONKA, M., HLAVAC, V., AND BOYLE, R. 1999. Image Processing, Analysis and Machine Vision. Brooks/Cole Publishing, Pacific Grove, CA.
-
(1999)
Image Processing, Analysis and Machine Vision
-
-
Sonka, M.1
Hlavac, V.2
Boyle, R.3
-
50
-
-
0022026217
-
Random sampling with a reservoir
-
VITTER, J. S. 1985. Random sampling with a reservoir. ACM Trans. Math. Softw. 11, 1, 37-57.
-
(1985)
ACM Trans. Math. Softw.
, vol.11
, Issue.1
, pp. 37-57
-
-
Vitter, J.S.1
-
51
-
-
0028699378
-
Xmdvtool: Integrating multiple methods for visualizing multivariate data
-
WARD, M. 1994. Xmdvtool: Integrating multiple methods for visualizing multivariate data. IEEE Visualization, 326-333.
-
(1994)
IEEE Visualization
, pp. 326-333
-
-
Ward, M.1
-
52
-
-
3543147086
-
Recent trends in hierarchic document clustering: A critical review
-
WILLETT, P. 1988. Recent trends in hierarchic document clustering: A critical review. Inf. Process. Manage. 24, 5, 577-597.
-
(1988)
Inf. Process. Manage.
, vol.24
, Issue.5
, pp. 577-597
-
-
Willett, P.1
-
53
-
-
0031701179
-
A distribution-based clustering algorithm for mining in large spatial databases
-
XU, X., ESTER, M., KRIEGEL, H.-P., AND SANDER, J. 1998. A distribution-based clustering algorithm for mining in large spatial databases. In Proceedings of the IEEE International Conference on Data Engineering (ICDE), 324-331.
-
(1998)
Proceedings of the IEEE International Conference on Data Engineering (ICDE)
, pp. 324-331
-
-
Xu, X.1
Ester, M.2
Kriegel, H.-P.3
Sander, J.4
-
54
-
-
0037399668
-
Interactive hierarchical displays: A general framework for visualization and exploration of large multivariate datasets
-
YANG, J., WARD, M. O., AND RUNDENSTEINER, E. A. 2002. Interactive hierarchical displays: A general framework for visualization and exploration of large multivariate datasets. Comput. Graphics J. 27, 265-283.
-
(2002)
Comput. Graphics J.
, vol.27
, pp. 265-283
-
-
Yang, J.1
Ward, M.O.2
Rundensteiner, E.A.3
-
55
-
-
0034593062
-
Interactive exploration of very large relational datasets through 3D dynamic projections
-
YANG, L. 2000. Interactive exploration of very large relational datasets through 3D dynamic projections. In Proceedings of the ACM SIGKDD Conference, 236-243.
-
(2000)
Proceedings of the ACM SIGKDD Conference
, pp. 236-243
-
-
Yang, L.1
-
58
-
-
0030157145
-
BIRCH: An efficient data clustering method for very large databases
-
ZHANG, T., RAMAKRISHNAN, R., AND LIVNY., M. 1996. BIRCH: An efficient data clustering method for very large databases. In Proceedings of the ACM SIGMOD Conference, 103-114.
-
(1996)
Proceedings of the ACM SIGMOD Conference
, pp. 103-114
-
-
Zhang, T.1
Ramakrishnan, R.2
Livny, M.3
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