-
1
-
-
84878327963
-
Data Mining: Concepts and Techniques
-
Han J, Kamber M. Data Mining: Concepts and Techniques. Morgan Kauffman, 2011.
-
(2011)
Morgan Kauffman
-
-
Han, J.1
Kamber, M.2
-
2
-
-
77954448046
-
An unsupervised grid-based approach for clustering analysis
-
Yue S H, Wang J S, Tao G, et al. An unsupervised grid-based approach for clustering analysis. Sci China Inf Sci, 2010, 53: 1345-1357.
-
(2010)
Sci China Inf Sci
, vol.53
, pp. 1345-1357
-
-
Yue, S.H.1
Wang, J.S.2
Tao, G.3
-
3
-
-
77949655248
-
Hierarchical aggregation for information visualization: overview, techniques and design guidelines
-
Elmqvist N. Hierarchical aggregation for information visualization: overview, techniques and design guidelines. IEEE Trans Vis Comput Graph, 2010, 16: 439-454.
-
(2010)
IEEE Trans Vis Comput Graph
, vol.16
, pp. 439-454
-
-
Elmqvist, N.1
-
4
-
-
54949133661
-
Geometry-based edge clustering for graph visualization
-
Cui W W, Zhou H, Qu H M, et al. Geometry-based edge clustering for graph visualization. IEEE Trans Vis Comput Graph, 2008, 14: 1277-1284.
-
(2008)
IEEE Trans Vis Comput Graph
, vol.14
, pp. 1277-1284
-
-
Cui, W.W.1
Zhou, H.2
Qu, H.M.3
-
5
-
-
67349242966
-
Exploiting data topology in visualization and clustering of self-organizing maps
-
Tasdemir K. Exploiting data topology in visualization and clustering of self-organizing maps. IEEE Trans Neural Netw, 2009, 20: 549-562.
-
(2009)
IEEE Trans Neural Netw
, vol.20
, pp. 549-562
-
-
Tasdemir, K.1
-
6
-
-
77952216507
-
Automated hierarchical density shaving: a robust automated clustering and visualization framework for large biological data sets
-
Gupta G. Automated hierarchical density shaving: a robust automated clustering and visualization framework for large biological data sets. IEEE-ACM Trans Comput Biol Bioinform, 2010, 7: 223-237.
-
(2010)
IEEE-ACM Trans Comput Biol Bioinform
, vol.7
, pp. 223-237
-
-
Gupta, G.1
-
7
-
-
54949122967
-
Surface extraction from multi-field particle volume data using multidimensional cluster visualization
-
Linsen L. Surface extraction from multi-field particle volume data using multidimensional cluster visualization. IEEE Trans Vis Comput Graph, 2008, 14: 1483-1490.
-
(2008)
IEEE Trans Vis Comput Graph
, vol.14
, pp. 1483-1490
-
-
Linsen, L.1
-
8
-
-
78649517772
-
iRaster: A novel information visualization tool to explore spatiotemporal patterns in multiple spike trains
-
Somerville J, Stuart L, Sernagor E. iRaster: A novel information visualization tool to explore spatiotemporal patterns in multiple spike trains. J Neurosci Methods, 2010, 194: 158-171.
-
(2010)
J Neurosci Methods
, vol.194
, pp. 158-171
-
-
Somerville, J.1
Stuart, L.2
Sernagor, E.3
-
15
-
-
77957833594
-
Exemplar-based visualization of large document corpus
-
Chen Y, Wang L, Dong M, et al. Exemplar-based visualization of large document corpus. IEEE Trans Vis Comput Graph, 2009, 15: 1161-1168.
-
(2009)
IEEE Trans Vis Comput Graph
, vol.15
, pp. 1161-1168
-
-
Chen, Y.1
Wang, L.2
Dong, M.3
-
16
-
-
78149253505
-
Interactive vector field feature identification
-
Daniels J, Anderson E W, Nonato L G, et al. Interactive vector field feature identification. IEEE Trans Vis Comput Graph, 2010, 16: 1560-1568.
-
(2010)
IEEE Trans Vis Comput Graph
, vol.16
, pp. 1560-1568
-
-
Daniels, J.1
Anderson, E.W.2
Nonato, L.G.3
-
19
-
-
23944436897
-
Automatic subspace clustering of high dimensional data
-
Agrawal R, Gehrke J, Gunopulos D, et al. Automatic subspace clustering of high dimensional data. Data Min Knowl Discov, 2005, 11: 5-33.
-
(2005)
Data Min Knowl Discov
, vol.11
, pp. 5-33
-
-
Agrawal, R.1
Gehrke, J.2
Gunopulos, D.3
-
22
-
-
84976715951
-
Tree visualization with treemaps: A 2D space-filling approach
-
Shneiderman B. Tree visualization with treemaps: A 2D space-filling approach. ACM Trans Graph, 1992, 11: 92-99.
-
(1992)
ACM Trans Graph
, vol.11
, pp. 92-99
-
-
Shneiderman, B.1
-
23
-
-
33751049843
-
Visualizing n-dimensional virtual worlds with n-vision
-
Beshers C, Feiner S K. Visualizing n-dimensional virtual worlds with n-vision. ACM SIGGRAPH Comput Graph, 1990, 24: 37-38.
-
(1990)
ACM SIGGRAPH Comput Graph
, vol.24
, pp. 37-38
-
-
Beshers, C.1
Feiner, S.K.2
-
25
-
-
84949331034
-
The use of faces to represent points in k-dimensional space graphically
-
Chernoff H. The use of faces to represent points in k-dimensional space graphically. J Am Stat Assoc, 1973, 68: 361-368.
-
(1973)
J Am Stat Assoc
, vol.68
, pp. 361-368
-
-
Chernoff, H.1
-
27
-
-
0010025883
-
Visual analyses of texture in the detection and recognition of objects
-
B. C. Lipkin and A. Rosenfeld (Eds.), New York: Academic Press
-
Pickett R M. Visual analyses of texture in the detection and recognition of objects. In: Lipkin B C, Rosenfeld A, eds. Picture Processing and Psychopictorics. New York: Academic Press, 1970. 289-308.
-
(1970)
Picture Processing and Psychopictorics
, pp. 289-308
-
-
Pickett, R.M.1
-
28
-
-
33747481116
-
-
Lowell: Computer Science Department, University of Massachusetts
-
Grinstein G, Sieg J C, Smith S, et al. Visualization for knowledge discovery. Technical Report, Computer Science Department, University of Massachusetts, Lowell, 1991.
-
(1991)
Visualization for Knowledge Discovery. Technical Report
-
-
Grinstein, G.1
Sieg, J.C.2
Smith, S.3
-
29
-
-
0028514142
-
VisDB: Database exploration using multidimensional visualization
-
Keim D, Kriegel H. VisDB: Database exploration using multidimensional visualization. IEEE Comput Graph Appl, 2002, 14: 40-49.
-
(2002)
IEEE Comput Graph Appl
, vol.14
, pp. 40-49
-
-
Keim, D.1
Kriegel, H.2
-
30
-
-
33947603702
-
Value and relation display: Interactive visual exploration of large data sets with hundreds of dimensions
-
Yang J, Hubball D, Ward M, et al. Value and relation display: Interactive visual exploration of large data sets with hundreds of dimensions. IEEE Trans Vis Comput Graph, 2007, 13: 494-507.
-
(2007)
IEEE Trans Vis Comput Graph
, vol.13
, pp. 494-507
-
-
Yang, J.1
Hubball, D.2
Ward, M.3
-
31
-
-
80955157762
-
DICON: Interactive visual analysis of multidimensional clusters
-
Nan C, David G, Sun J M, et al. DICON: Interactive visual analysis of multidimensional clusters. IEEE Trans Vis Comput Graph, 2011, 17: 2581-2590.
-
(2011)
IEEE Trans Vis Comput Graph
, vol.17
, pp. 2581-2590
-
-
Nan, C.1
David, G.2
Sun, J.M.3
-
33
-
-
84872791779
-
Clustering by data competition
-
Lu Z M, Zhang Q. Clustering by data competition. Sci China Inf Sci, 2013, 56: 012105.
-
(2013)
Sci China Inf Sci
, vol.56
, pp. 012105
-
-
Lu, Z.M.1
Zhang, Q.2
-
35
-
-
13844276694
-
Clustering analysis for gene expression data: A survey
-
Jiang D X, Tang C, Zhang A D. Clustering analysis for gene expression data: A survey. IEEE Trans Knowl Data Eng, 2004, 16: 1370-1386.
-
(2004)
IEEE Trans Knowl Data Eng
, vol.16
, pp. 1370-1386
-
-
Jiang, D.X.1
Tang, C.2
Zhang, A.D.3
-
36
-
-
0037172724
-
A prediction-based resampling method for estimating the number of clusters in a dataset
-
Dudoit S, Fridlyand J. A prediction-based resampling method for estimating the number of clusters in a dataset. Genome Biol, 2002, 3: 1-21.
-
(2002)
Genome Biol
, vol.3
, pp. 1-21
-
-
Dudoit, S.1
Fridlyand, J.2
-
37
-
-
84945923591
-
A method for comparing two hierarchical clusterings
-
Fowlkes E B, Mallows C L. A method for comparing two hierarchical clusterings. J Am Stat Assoc, 1983, 78: 553-569.
-
(1983)
J Am Stat Assoc
, vol.78
, pp. 553-569
-
-
Fowlkes, E.B.1
Mallows, C.L.2
-
39
-
-
33847172327
-
Clustering by passing message between data points
-
Frey B J, Dueck D. Clustering by passing message between data points. Science, 2007, 315: 972-976.
-
(2007)
Science
, vol.315
, pp. 972-976
-
-
Frey, B.J.1
Dueck, D.2
|