Class information for: |
Basic class information |
| Class id | #P | Avg. number of references |
Database coverage of references |
|---|---|---|---|
| 16483 | 651 | 21.4 | 49% |
Hierarchy of classes |
The table includes all classes above and classes immediately below the current class. |
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 | MINOR COMPONENT ANALYSIS MCA | authKW | 753068 | 3% | 94% | 17 |
| 2 | SUBSPACE TRACKING | authKW | 705578 | 6% | 41% | 37 |
| 3 | DETERMINISTIC DISCRETE TIME DDT SYSTEM | authKW | 469040 | 2% | 100% | 10 |
| 4 | MINOR COMPONENT ANALYSIS | authKW | 253275 | 1% | 60% | 9 |
| 5 | DETERMINISTIC DISCRETE TIME DDT APPROACH | authKW | 187616 | 1% | 100% | 4 |
| 6 | DETERMINISTIC DISCRETE TIME SYSTEM | authKW | 187616 | 1% | 100% | 4 |
| 7 | GENERALIZED HEBBIAN ALGORITHM | authKW | 168850 | 1% | 60% | 6 |
| 8 | PL COMPUTAT INTELLIGENCE UNIT | address | 146812 | 2% | 26% | 12 |
| 9 | ADAPTIVE LINEAR DISCRIMINANT ANALYSIS | authKW | 140712 | 0% | 100% | 3 |
| 10 | MINOR COMPONENT EXTRACTION | authKW | 140712 | 0% | 100% | 3 |
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 | Computer Science, Artificial Intelligence | 11772 | 35% | 0% | 229 |
| 2 | Engineering, Electrical & Electronic | 4619 | 49% | 0% | 321 |
| 3 | Computer Science, Theory & Methods | 666 | 9% | 0% | 61 |
| 4 | Computer Science, Hardware & Architecture | 178 | 3% | 0% | 21 |
| 5 | Neurosciences | 165 | 12% | 0% | 76 |
| 6 | Computer Science, Information Systems | 133 | 4% | 0% | 28 |
| 7 | Computer Science, Cybernetics | 126 | 1% | 0% | 9 |
| 8 | Mathematics, Applied | 84 | 6% | 0% | 38 |
| 9 | Telecommunications | 62 | 3% | 0% | 21 |
| 10 | Acoustics | 41 | 2% | 0% | 12 |
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 | PL COMPUTAT INTELLIGENCE UNIT | 146812 | 2% | 26% | 12 |
| 2 | SICHUAN UNIV LIB | 70353 | 0% | 50% | 3 |
| 3 | IMAGE GR H | 49653 | 1% | 18% | 6 |
| 4 | COMPUTAT INTELLIGENCE | 48487 | 4% | 4% | 25 |
| 5 | AG NEURO BIOINFORMAT GRP | 46904 | 0% | 100% | 1 |
| 6 | AREA LENGUAJES SIST INFORMAT | 46904 | 0% | 100% | 1 |
| 7 | ARTIFICIAL NEURAL NETWORK GRP | 46904 | 0% | 100% | 1 |
| 8 | BLACK FO T | 46904 | 0% | 100% | 1 |
| 9 | CELIS GRP | 46904 | 0% | 100% | 1 |
| 10 | CONCEPTS PLICAT | 46904 | 0% | 100% | 1 |
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 | IEEE TRANSACTIONS ON NEURAL NETWORKS | 34347 | 7% | 2% | 46 |
| 2 | NEURAL NETWORKS | 28814 | 7% | 1% | 44 |
| 3 | IEEE TRANSACTIONS ON SIGNAL PROCESSING | 24598 | 11% | 1% | 72 |
| 4 | NEURAL PROCESSING LETTERS | 21174 | 3% | 2% | 21 |
| 5 | SIGNAL PROCESSING | 7881 | 5% | 1% | 33 |
| 6 | NETWORK-COMPUTATION IN NEURAL SYSTEMS | 6671 | 1% | 2% | 9 |
| 7 | NEUROCOMPUTING | 5960 | 5% | 0% | 35 |
| 8 | IEEE TRANSACTIONS ON ACOUSTICS SPEECH AND SIGNAL PROCESSING | 3692 | 2% | 1% | 11 |
| 9 | JOURNAL OF VLSI SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY | 3317 | 1% | 1% | 7 |
| 10 | NEURAL COMPUTATION | 3132 | 2% | 1% | 13 |
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 | GAO, YB , KONG, XY , HU, CH , LI, HZ , HOU, LA , (2017) A GENERALIZED INFORMATION CRITERION FOR GENERALIZED MINOR COMPONENT EXTRACTION.IEEE TRANSACTIONS ON SIGNAL PROCESSING. VOL. 65. ISSUE 4. P. 947 -959 | 33 | 85% | 0 |
| 2 | KONG, XY , HU, CH , HAN, CZ , (2012) A DUAL PURPOSE PRINCIPAL AND MINOR SUBSPACE GRADIENT FLOW.IEEE TRANSACTIONS ON SIGNAL PROCESSING. VOL. 60. ISSUE 1. P. 197 -210 | 31 | 97% | 3 |
| 3 | TAN, KK , LV, JC , YI, Z , HUANG, SA , (2010) ADAPTIVE MULTIPLE MINOR DIRECTIONS EXTRACTION IN PARALLEL USING A PCA NEURAL NETWORK.THEORETICAL COMPUTER SCIENCE. VOL. 411. ISSUE 48. P. 4200 -4215 | 29 | 97% | 2 |
| 4 | FENG, XW , KONG, XY , MA, HG , LIU, HM , (2017) UNIFIED AND COUPLED SELF-STABILIZING ALGORITHMS FOR MINOR AND PRINCIPAL EIGEN-PAIRS EXTRACTION.NEURAL PROCESSING LETTERS. VOL. 45. ISSUE 1. P. 197 -222 | 28 | 80% | 0 |
| 5 | GAO, JB , YE, M , LI, JP , XIA, Q , (2011) A GLOBALLY CONVERGENT MCA ALGORITHM BY GENERALIZED EIGEN-DECOMPOSITION.INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS. VOL. 4. ISSUE 5. P. 991-1001 | 27 | 93% | 3 |
| 6 | KONG, XY , HU, CH , MA, HG , HAN, CZ , (2012) A UNIFIED SELF-STABILIZING NEURAL NETWORK ALGORITHM FOR PRINCIPAL AND MINOR COMPONENTS EXTRACTION.IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS. VOL. 23. ISSUE 2. P. 185 -198 | 27 | 90% | 4 |
| 7 | PENG, DZ , YI, Z , XIANG, Y , (2009) A UNIFIED LEARNING ALGORITHM TO EXTRACT PRINCIPAL AND MINOR COMPONENTS.DIGITAL SIGNAL PROCESSING. VOL. 19. ISSUE 4. P. 640-649 | 25 | 100% | 8 |
| 8 | KONG, XY , AN, QS , MA, HG , HAN, CZ , ZHANG, Q , (2012) CONVERGENCE ANALYSIS OF DETERMINISTIC DISCRETE TIME SYSTEM OF A UNIFIED SELF-STABILIZING ALGORITHM FOR PCA AND MCA.NEURAL NETWORKS. VOL. 36. ISSUE . P. 64 -72 | 25 | 93% | 2 |
| 9 | LV, JC , YI, Z , LI, YX , (2015) NON-DIVERGENCE OF STOCHASTIC DISCRETE TIME ALGORITHMS FOR PCA NEURAL NETWORKS.IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS. VOL. 26. ISSUE 2. P. 394 -399 | 21 | 95% | 2 |
| 10 | NGUYEN, TD , YAMADA, I , (2013) A UNIFIED CONVERGENCE ANALYSIS OF NORMALIZED PAST ALGORITHMS FOR ESTIMATING PRINCIPAL AND MINOR COMPONENTS.SIGNAL PROCESSING. VOL. 93. ISSUE 1. P. 176 -184 | 22 | 96% | 3 |
Classes with closest relation at Level 1 |