Class information for: |
Basic class information |
Class id | #P | Avg. number of references |
Database coverage of references |
---|---|---|---|
30659 | 165 | 25.0 | 46% |
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 |
30659 | 1 | PRINCIPAL CURVES//PRINCIPAL MANIFOLD//SUBSPACE CONSTRAINED MEAN SHIFT | 165 |
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 | PRINCIPAL CURVES | authKW | 4265234 | 27% | 52% | 44 |
2 | PRINCIPAL MANIFOLD | authKW | 578320 | 3% | 63% | 5 |
3 | SUBSPACE CONSTRAINED MEAN SHIFT | authKW | 555191 | 2% | 100% | 3 |
4 | PRINCIPAL SURFACES | authKW | 514061 | 3% | 56% | 5 |
5 | CURVILINEAR FEATURE EXTRACTION | authKW | 370127 | 1% | 100% | 2 |
6 | FREEWAY TRAFFIC STREAM MODELING | authKW | 370127 | 1% | 100% | 2 |
7 | ADAPTIVE CONSTRAINT K SEGMENT PRINCIPAL CURVES ACKPCS | authKW | 185064 | 1% | 100% | 1 |
8 | BINARY PYRAMIDS | authKW | 185064 | 1% | 100% | 1 |
9 | BOUNDED TURN | authKW | 185064 | 1% | 100% | 1 |
10 | CAR CRASH ANALYSIS | authKW | 185064 | 1% | 100% | 1 |
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 | 2575 | 33% | 0% | 54 |
2 | Statistics & Probability | 828 | 18% | 0% | 29 |
3 | Computer Science, Theory & Methods | 263 | 12% | 0% | 19 |
4 | Computer Science, Cybernetics | 239 | 4% | 0% | 6 |
5 | Engineering, Electrical & Electronic | 219 | 23% | 0% | 38 |
6 | Transportation Science & Technology | 88 | 3% | 0% | 5 |
7 | Computer Science, Information Systems | 74 | 6% | 0% | 10 |
8 | Mathematics, Interdisciplinary Applications | 46 | 4% | 0% | 7 |
9 | Psychology, Mathematical | 42 | 1% | 0% | 2 |
10 | Computer Science, Interdisciplinary Applications | 41 | 5% | 0% | 8 |
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 | ELECT ELEC ON ENGN | 185064 | 1% | 100% | 1 |
2 | IUAV ARCHITECTURE | 185064 | 1% | 100% | 1 |
3 | LLENGUATJES SISTEMES INFORMAT | 185064 | 1% | 100% | 1 |
4 | MACHINE LEARNING RUMENT AUTON | 185064 | 1% | 100% | 1 |
5 | MILIMETER WAVE OPT NEAR SENSING TECHNO | 185064 | 1% | 100% | 1 |
6 | PL COMPUTATIONAL INTELLIGENCE UNIT | 185064 | 1% | 100% | 1 |
7 | PLANETARY ICES | 185064 | 1% | 100% | 1 |
8 | RUMENT SYST ENGN | 185064 | 1% | 100% | 1 |
9 | ESCOLA TECN SUPER INGN | 185062 | 1% | 50% | 2 |
10 | ENGN RSISE | 92531 | 1% | 50% | 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 | INFORMATION AND DECISION TECHNOLOGIES | 5066 | 1% | 1% | 2 |
2 | INTERNATIONAL JOURNAL OF NEURAL SYSTEMS | 4745 | 2% | 1% | 4 |
3 | STATISTICS AND COMPUTING | 2921 | 2% | 0% | 4 |
4 | JOURNAL OF INFRARED AND MILLIMETER WAVES | 2347 | 3% | 0% | 5 |
5 | CONTRIBUTIONS TO STATISTICS | 2097 | 2% | 0% | 3 |
6 | IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS | 1640 | 2% | 0% | 4 |
7 | TRANSPORTMETRICA | 1515 | 1% | 1% | 1 |
8 | IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE | 1442 | 4% | 0% | 6 |
9 | JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION | 1363 | 4% | 0% | 6 |
10 | JOURNAL OF MACHINE LEARNING RESEARCH | 1058 | 2% | 0% | 3 |
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 | CHEN, DW , YIN, JT , YANG, SY , LI, LX , PUDNEY, P , (2016) CONSTRAINT LOCAL PRINCIPAL CURVE: CONCEPT, ALGORITHMS AND APPLICATIONS.JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS. VOL. 298. ISSUE . P. 222 -235 | 12 | 80% | 0 |
2 | LIU, XB , JIA, YD , (2005) A BOTTOM-UP ALGORITHM FOR FINDING PRINCIPAL CURVES WITH APPLICATIONS TO IMAGE SKELETONIZATION.PATTERN RECOGNITION. VOL. 38. ISSUE 7. P. 1079 -1085 | 13 | 93% | 7 |
3 | ZHANG, HY , PEDRYCZ, W , MIAO, DQ , ZHONG, CM , (2013) A GLOBAL STRUCTURE-BASED ALGORITHM FOR DETECTING THE PRINCIPAL GRAPH FROM COMPLEX DATA.PATTERN RECOGNITION. VOL. 46. ISSUE 6. P. 1638-1647 | 15 | 65% | 0 |
4 | FISCHER, A , (2013) SELECTING THE LENGTH OF A PRINCIPAL CURVE WITHIN A GAUSSIAN MODEL.ELECTRONIC JOURNAL OF STATISTICS. VOL. 7. ISSUE . P. 342-363 | 14 | 64% | 1 |
5 | ZHANG, HY , PEDRYCZ, W , MIAO, DQ , WEI, ZH , (2014) FROM PRINCIPAL CURVES TO GRANULAR PRINCIPAL CURVES.IEEE TRANSACTIONS ON CYBERNETICS. VOL. 44. ISSUE 6. P. 748-760 | 17 | 50% | 2 |
6 | BIAU, G , FISCHER, A , (2012) PARAMETER SELECTION FOR PRINCIPAL CURVES.IEEE TRANSACTIONS ON INFORMATION THEORY. VOL. 58. ISSUE 3. P. 1924 -1939 | 11 | 61% | 6 |
7 | ZHANG, JP , CHEN, DW , KRUGER, U , (2008) ADAPTIVE CONSTRAINT K-SEGMENT PRINCIPAL CURVES FOR INTELLIGENT TRANSPORTATION SYSTEMS.IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS. VOL. 9. ISSUE 4. P. 666 -677 | 9 | 82% | 9 |
8 | WANG, HN , LEE, TCM , (2008) EXTRACTION OF CURVILINEAR FEATURES FROM NOISY POINT PATTERNS USING PRINCIPAL CURVES.PATTERN RECOGNITION LETTERS. VOL. 29. ISSUE 16. P. 2078 -2084 | 8 | 80% | 7 |
9 | CHEN, DW , CHEN, L , (2013) PRACTICAL CONSTRAINT K-SEGMENT PRINCIPAL CURVE ALGORITHMS FOR GENERATING RAILWAY GPS DIGITAL MAP.MATHEMATICAL PROBLEMS IN ENGINEERING. VOL. . ISSUE . P. - | 10 | 56% | 0 |
10 | ZHANG, JP , KRUGER, U , WANG, XD , CHEN, DW , (2010) A RIEMANNIAN DISTANCE APPROACH FOR CONSTRUCTING PRINCIPAL CURVES.INTERNATIONAL JOURNAL OF NEURAL SYSTEMS. VOL. 20. ISSUE 3. P. 209-218 | 10 | 56% | 3 |
Classes with closest relation at Level 1 |