Class information for: |
Basic class information |
Class id | #P | Avg. number of references |
Database coverage of references |
---|---|---|---|
24116 | 323 | 27.6 | 40% |
Hierarchy of classes |
The table includes all classes above and classes immediately below the current class. |
Cluster id | Level | Cluster label | #P |
---|---|---|---|
9 | 4 | COMPUTER SCIENCE, THEORY & METHODS//COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE//COMPUTER SCIENCE, INFORMATION SYSTEMS | 1247339 |
34 | 3 | STATISTICS & PROBABILITY//STAT//COMMUNICATIONS IN STATISTICS-THEORY AND METHODS | 105938 |
1563 | 2 | LASSO//VARIABLE SELECTION//SLICED INVERSE REGRESSION | 7363 |
24116 | 1 | MULTIVARIATE EIGENVALUE PROBLEM//CANONICAL CORRELATION ANALYSIS//MAXBET | 323 |
Terms with highest relevance score |
rank | Term | termType | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|---|
1 | MULTIVARIATE EIGENVALUE PROBLEM | authKW | 756289 | 2% | 100% | 8 |
2 | CANONICAL CORRELATION ANALYSIS | authKW | 531054 | 17% | 10% | 54 |
3 | MAXBET | authKW | 378145 | 1% | 100% | 4 |
4 | MAXIMAL CORRELATION PROBLEM | authKW | 212705 | 1% | 75% | 3 |
5 | MULTISET CANONICAL CORRELATION ANALYSIS | authKW | 212705 | 1% | 75% | 3 |
6 | CANONICAL CORRELATION ANALYSIS CCA | authKW | 199686 | 4% | 16% | 13 |
7 | ALTERNATING VARIABLE METHOD | authKW | 189072 | 1% | 100% | 2 |
8 | DUAL MULTIPLE FACTOR ANALYSIS | authKW | 189072 | 1% | 100% | 2 |
9 | G FOLD CROSS VALIDATION | authKW | 189072 | 1% | 100% | 2 |
10 | GAUSS SEIDAL METHOD | authKW | 189072 | 1% | 100% | 2 |
Web of Science journal categories |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|
1 | Psychology, Mathematical | 6695 | 11% | 0% | 34 |
2 | Computer Science, Artificial Intelligence | 5168 | 33% | 0% | 107 |
3 | Social Sciences, Mathematical Methods | 2875 | 12% | 0% | 38 |
4 | Statistics & Probability | 2281 | 21% | 0% | 67 |
5 | Mathematics, Interdisciplinary Applications | 1697 | 17% | 0% | 54 |
6 | Computer Science, Information Systems | 208 | 7% | 0% | 23 |
7 | Computer Science, Interdisciplinary Applications | 155 | 7% | 0% | 21 |
8 | Engineering, Electrical & Electronic | 150 | 15% | 0% | 48 |
9 | Neuroimaging | 147 | 3% | 0% | 9 |
10 | Psychology, Experimental | 123 | 5% | 0% | 15 |
Address terms |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|
1 | TAIYUAN IRON STEEL CO | 189072 | 1% | 100% | 2 |
2 | BIOINFORMAT BIOSTAT PLATFORM IHU A ICM | 94536 | 0% | 100% | 1 |
3 | ESTADAST INVEST OPERAT | 94536 | 0% | 100% | 1 |
4 | PARIETAL PROJECT TEAMI2BMDSV | 94536 | 0% | 100% | 1 |
5 | ROYAL EDINBURG HOSP | 94536 | 0% | 100% | 1 |
6 | SOCIALHOGSKOLAN PUFENDORF ADV | 94536 | 0% | 100% | 1 |
7 | UMR MATH PL 6625 | 94536 | 0% | 100% | 1 |
8 | ENGN INFORMAT GRP | 77343 | 1% | 27% | 3 |
9 | ANAL ECON SOCIAL SYST | 75627 | 1% | 40% | 2 |
10 | UMR8203 | 54018 | 1% | 29% | 2 |
Journals |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|
1 | PSYCHOMETRIKA | 24479 | 6% | 1% | 19 |
2 | MULTIVARIATE BEHAVIORAL RESEARCH | 9212 | 3% | 1% | 10 |
3 | COMPUTATIONAL STATISTICS & DATA ANALYSIS | 3215 | 4% | 0% | 13 |
4 | MACHINE LEARNING | 2742 | 2% | 0% | 6 |
5 | PATTERN RECOGNITION | 2690 | 4% | 0% | 14 |
6 | JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION | 2134 | 2% | 0% | 6 |
7 | ADVANCES IN DATA ANALYSIS AND CLASSIFICATION | 1997 | 1% | 1% | 2 |
8 | SOCIAL SCIENCE COMPUTER REVIEW | 1904 | 1% | 1% | 4 |
9 | MULTIVARIATE EXPERIMENTAL CLINICAL RESEARCH | 1548 | 0% | 2% | 1 |
10 | NEURAL PROCESSING LETTERS | 1543 | 1% | 0% | 4 |
Author Key Words |
Core articles |
The table includes core articles in the class. The following variables is taken into account for the relevance score of an article in a cluster c: (1) Number of references referring to publications in the class. (2) Share of total number of active references referring to publications in the class. (3) Age of the article. New articles get higher score than old articles. (4) Citation rate, normalized to year. |
Rank | Reference | # ref. in cl. |
Shr. of ref. in cl. |
Citations |
---|---|---|---|---|
1 | WANG, FS , ZHANG, DQ , (2013) A NEW LOCALITY-PRESERVING CANONICAL CORRELATION ANALYSIS ALGORITHM FOR MULTI-VIEW DIMENSIONALITY REDUCTION.NEURAL PROCESSING LETTERS. VOL. 37. ISSUE 2. P. 135 -146 | 10 | 83% | 7 |
2 | PENG, Y , ZHANG, DQ , ZHANG, JC , (2010) A NEW CANONICAL CORRELATION ANALYSIS ALGORITHM WITH LOCAL DISCRIMINATION.NEURAL PROCESSING LETTERS. VOL. 31. ISSUE 1. P. 1 -15 | 11 | 65% | 25 |
3 | YUAN, Y , MA, C , PU, D , (2016) A NOVEL DISCRIMINANT MINIMUM CLASS LOCALITY PRESERVING CANONICAL CORRELATION ANALYSIS AND ITS APPLICATIONS.JOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION. VOL. 12. ISSUE 1. P. 251 -268 | 13 | 48% | 0 |
4 | ZU, C , ZHANG, DQ , (2016) CANONICAL SPARSE CROSS-VIEW CORRELATION ANALYSIS.NEUROCOMPUTING. VOL. 191. ISSUE . P. 263 -272 | 11 | 52% | 1 |
5 | YUAN, YH , SUN, QS , GE, HW , (2014) FRACTIONAL-ORDER EMBEDDING CANONICAL CORRELATION ANALYSIS AND ITS APPLICATIONS TO MULTI-VIEW DIMENSIONALITY REDUCTION AND RECOGNITION.PATTERN RECOGNITION. VOL. 47. ISSUE 3. P. 1411 -1424 | 14 | 41% | 13 |
6 | ZHOU, XD , CHEN, XH , CHEN, SC , (2013) NEIGHBORHOOD CORRELATION ANALYSIS FOR SEMI-PAIRED TWO-VIEW DATA.NEURAL PROCESSING LETTERS. VOL. 37. ISSUE 3. P. 335-354 | 10 | 63% | 1 |
7 | SU, SZ , GE, HW , YUAN, YH , (2016) KERNEL-ALIGNED MULTI-VIEW CANONICAL CORRELATION ANALYSIS FOR IMAGE RECOGNITION.INFRARED PHYSICS & TECHNOLOGY. VOL. 78. ISSUE . P. 233 -240 | 12 | 48% | 0 |
8 | YUAN, YH , SUN, QS , (2014) MULTISET CANONICAL CORRELATIONS USING GLOBALITY PRESERVING PROJECTIONS WITH APPLICATIONS TO FEATURE EXTRACTION AND RECOGNITION.IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS. VOL. 25. ISSUE 6. P. 1131-1146 | 14 | 40% | 5 |
9 | LAZRAQ, A , CLEROUX, R , (2002) TESTING THE SIGNIFICANCE OF THE SUCCESSIVE COMPONENTS IN REDUNDANCY ANALYSIS.PSYCHOMETRIKA. VOL. 67. ISSUE 3. P. 411-419 | 8 | 100% | 3 |
10 | SHEN, XB , SUN, QS , (2015) ORTHOGONAL MULTISET CANONICAL CORRELATION ANALYSIS BASED ON FRACTIONAL-ORDER AND ITS APPLICATION IN MULTIPLE FEATURE EXTRACTION AND RECOGNITION.NEURAL PROCESSING LETTERS. VOL. 42. ISSUE 2. P. 301 -316 | 10 | 56% | 1 |
Classes with closest relation at Level 1 |