Class information for: |
Basic class information |
Class id | #P | Avg. number of references |
Database coverage of references |
---|---|---|---|
6851 | 1436 | 26.6 | 41% |
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 |
211 | 3 | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE//IEEE TRANSACTIONS ON NEURAL NETWORKS//DATA MINING | 51632 |
2769 | 2 | SELF ORGANIZING MAP//PRINCIPAL CURVES//PRINCIPAL POINTS | 3152 |
6851 | 1 | SELF ORGANIZING MAP//CITEC EXCELLENCE//COMPETITIVE LEARNING | 1436 |
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 | SELF ORGANIZING MAP | authKW | 665649 | 16% | 14% | 227 |
2 | CITEC EXCELLENCE | address | 256667 | 1% | 93% | 13 |
3 | COMPETITIVE LEARNING | authKW | 232447 | 3% | 23% | 47 |
4 | NEURAL NETWORKS | address | 222294 | 3% | 26% | 40 |
5 | CLIN PSYCHOTHER Y | address | 204814 | 1% | 57% | 17 |
6 | SELF ORGANIZING MAP SOM | authKW | 186256 | 3% | 20% | 43 |
7 | SOM | authKW | 175199 | 4% | 16% | 52 |
8 | METRIC ADAPTATION | authKW | 170100 | 1% | 100% | 8 |
9 | RELEVANCE LEARNING | authKW | 151869 | 1% | 71% | 10 |
10 | IT EDUC | address | 129281 | 1% | 41% | 15 |
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 | 86857 | 64% | 0% | 916 |
2 | Computer Science, Theory & Methods | 5609 | 18% | 0% | 253 |
3 | Computer Science, Information Systems | 1910 | 10% | 0% | 143 |
4 | Computer Science, Cybernetics | 1202 | 3% | 0% | 40 |
5 | Engineering, Electrical & Electronic | 1013 | 18% | 0% | 253 |
6 | Neurosciences | 818 | 16% | 0% | 230 |
7 | Computer Science, Interdisciplinary Applications | 460 | 5% | 0% | 78 |
8 | Computer Science, Hardware & Architecture | 445 | 3% | 0% | 49 |
9 | Computer Science, Software Engineering | 231 | 3% | 0% | 49 |
10 | Automation & Control Systems | 104 | 2% | 0% | 31 |
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 | CITEC EXCELLENCE | 256667 | 1% | 93% | 13 |
2 | NEURAL NETWORKS | 222294 | 3% | 26% | 40 |
3 | CLIN PSYCHOTHER Y | 204814 | 1% | 57% | 17 |
4 | IT EDUC | 129281 | 1% | 41% | 15 |
5 | FUTURE SCI TECHNOL JOINT | 96637 | 1% | 45% | 10 |
6 | COMP LANGUAGES COMP SCI | 69569 | 1% | 27% | 12 |
7 | KLIN PSYCHOTHER IE | 66442 | 0% | 63% | 5 |
8 | CITEC CLUSTER EXCELLENCE | 63788 | 0% | 100% | 3 |
9 | NEURAL COMPUTAT GRP | 48597 | 0% | 57% | 4 |
10 | SEZ MATEMAT FINANZIARIA | 47839 | 0% | 75% | 3 |
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 | NEURAL NETWORKS | 86192 | 8% | 4% | 113 |
2 | NEUROCOMPUTING | 59686 | 11% | 2% | 164 |
3 | IEEE TRANSACTIONS ON NEURAL NETWORKS | 59585 | 6% | 3% | 90 |
4 | NEURAL PROCESSING LETTERS | 44075 | 3% | 5% | 45 |
5 | NEURAL COMPUTATION | 25518 | 4% | 2% | 55 |
6 | LECTURE NOTES IN COMPUTER SCIENCE | 11835 | 16% | 0% | 224 |
7 | INTERNATIONAL JOURNAL OF NEURAL SYSTEMS | 9830 | 1% | 3% | 17 |
8 | NEURAL COMPUTING & APPLICATIONS | 7594 | 2% | 1% | 29 |
9 | NEURAL NETWORK WORLD | 6505 | 1% | 3% | 12 |
10 | BIOLOGICAL CYBERNETICS | 4716 | 2% | 1% | 26 |
Author Key Words |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
LCSH search | Wikipedia search |
---|---|---|---|---|---|---|---|
1 | SELF ORGANIZING MAP | 665649 | 16% | 14% | 227 | Search SELF+ORGANIZING+MAP | Search SELF+ORGANIZING+MAP |
2 | COMPETITIVE LEARNING | 232447 | 3% | 23% | 47 | Search COMPETITIVE+LEARNING | Search COMPETITIVE+LEARNING |
3 | SELF ORGANIZING MAP SOM | 186256 | 3% | 20% | 43 | Search SELF+ORGANIZING+MAP+SOM | Search SELF+ORGANIZING+MAP+SOM |
4 | SOM | 175199 | 4% | 16% | 52 | Search SOM | Search SOM |
5 | METRIC ADAPTATION | 170100 | 1% | 100% | 8 | Search METRIC+ADAPTATION | Search METRIC+ADAPTATION |
6 | RELEVANCE LEARNING | 151869 | 1% | 71% | 10 | Search RELEVANCE+LEARNING | Search RELEVANCE+LEARNING |
7 | NEURAL GAS | 127996 | 1% | 35% | 17 | Search NEURAL+GAS | Search NEURAL+GAS |
8 | LEARNING VECTOR QUANTIZATION | 123042 | 2% | 19% | 31 | Search LEARNING+VECTOR+QUANTIZATION | Search LEARNING+VECTOR+QUANTIZATION |
9 | MNSOM | 106313 | 0% | 100% | 5 | Search MNSOM | Search MNSOM |
10 | WEBSOM | 106313 | 0% | 100% | 5 | Search WEBSOM | Search WEBSOM |
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 | BIEHL, M , HAMMER, B , VILLMANN, T , (2016) PROTOTYPE-BASED MODELS IN MACHINE LEARNING.WILEY INTERDISCIPLINARY REVIEWS-COGNITIVE SCIENCE. VOL. 7. ISSUE 2. P. 92 -111 | 37 | 77% | 0 |
2 | KAMIMURA, R , (2013) SIMILARITY INTERACTION IN INFORMATION-THEORETIC SELF-ORGANIZING MAPS.INTERNATIONAL JOURNAL OF GENERAL SYSTEMS. VOL. 42. ISSUE 3. P. 239 -267 | 33 | 83% | 0 |
3 | ASTUDILLO, CA , OOMMEN, BJ , (2014) TOPOLOGY-ORIENTED SELF-ORGANIZING MAPS: A SURVEY.PATTERN ANALYSIS AND APPLICATIONS. VOL. 17. ISSUE 2. P. 223-248 | 29 | 83% | 8 |
4 | KAMIMURA, R , (2012) RELATIVE INFORMATION MAXIMIZATION AND ITS APPLICATION TO THE EXTRACTION OF EXPLICIT CLASS STRUCTURE IN SOM.NEUROCOMPUTING. VOL. 82. ISSUE . P. 37 -51 | 34 | 74% | 2 |
5 | KAMIMURA, R , (2013) CONTROLLING RELATIONS BETWEEN THE INDIVIDUALITY AND COLLECTIVITY OF NEURONS AND ITS APPLICATION TO SELF-ORGANIZING MAPS.NEURAL PROCESSING LETTERS. VOL. 38. ISSUE 2. P. 177 -203 | 25 | 83% | 0 |
6 | LOPEZ-RUBIO, E , PALOMO, EJ , DOMINGUEZ, E , (2014) BREGMAN DIVERGENCES FOR GROWING HIERARCHICAL SELF-ORGANIZING NETWORKS.INTERNATIONAL JOURNAL OF NEURAL SYSTEMS. VOL. 24. ISSUE 4. P. - | 27 | 64% | 4 |
7 | LOPEZ-RUBIO, E , (2013) IMPROVING THE QUALITY OF SELF-ORGANIZING MAPS BY SELF-INTERSECTION AVOIDANCE.IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS. VOL. 24. ISSUE 8. P. 1253-1265 | 30 | 55% | 2 |
8 | HSU, CC , LIN, SH , (2012) VISUALIZED ANALYSIS OF MIXED NUMERIC AND CATEGORICAL DATA VIA EXTENDED SELF-ORGANIZING MAP.IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS. VOL. 23. ISSUE 1. P. 72 -86 | 22 | 71% | 9 |
9 | KOHONEN, T , (2013) ESSENTIALS OF THE SELF-ORGANIZING MAP.NEURAL NETWORKS. VOL. 37. ISSUE . P. 52 -65 | 16 | 59% | 129 |
10 | AYADI, T , HAMDANI, TM , ALIMI, AM , (2012) MIGSOM: MULTILEVEL INTERIOR GROWING SELF-ORGANIZING MAPS FOR HIGH DIMENSIONAL DATA CLUSTERING.NEURAL PROCESSING LETTERS. VOL. 36. ISSUE 3. P. 235 -256 | 21 | 75% | 2 |
Classes with closest relation at Level 1 |