Class information for: |
Basic class information |
Class id | #P | Avg. number of references |
Database coverage of references |
---|---|---|---|
25909 | 268 | 27.3 | 50% |
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 |
25909 | 1 | SPARSE PRINCIPAL COMPONENT ANALYSIS//PRINCIPAL VARIABLES//SPARSE PCA | 268 |
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 | SPARSE PRINCIPAL COMPONENT ANALYSIS | authKW | 997801 | 6% | 52% | 17 |
2 | PRINCIPAL VARIABLES | authKW | 341807 | 2% | 50% | 6 |
3 | SPARSE PCA | authKW | 315513 | 2% | 46% | 6 |
4 | SPIKED COVARIANCE ENSEMBLES | authKW | 227875 | 1% | 100% | 2 |
5 | LIB QUFU NORMAL UNIV | address | 202551 | 1% | 44% | 4 |
6 | ADAPTIVE TRACE NORM | authKW | 113938 | 0% | 100% | 1 |
7 | ADDITIONAL INFORMATION HYPOTHESIS | authKW | 113938 | 0% | 100% | 1 |
8 | ADS QUAL | address | 113938 | 0% | 100% | 1 |
9 | AGNOSTIC INFERENCE | authKW | 113938 | 0% | 100% | 1 |
10 | ALL SUBSETS ALGORITHMS | authKW | 113938 | 0% | 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 | Statistics & Probability | 10198 | 47% | 0% | 127 |
2 | Mathematical & Computational Biology | 1240 | 13% | 0% | 34 |
3 | Computer Science, Interdisciplinary Applications | 364 | 10% | 0% | 28 |
4 | Computer Science, Artificial Intelligence | 333 | 10% | 0% | 26 |
5 | Psychology, Mathematical | 332 | 3% | 0% | 7 |
6 | Mathematics, Interdisciplinary Applications | 207 | 7% | 0% | 18 |
7 | Social Sciences, Mathematical Methods | 142 | 3% | 0% | 8 |
8 | Operations Research & Management Science | 102 | 5% | 0% | 13 |
9 | Automation & Control Systems | 87 | 4% | 0% | 11 |
10 | Mathematics, Applied | 74 | 8% | 0% | 21 |
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 | LIB QUFU NORMAL UNIV | 202551 | 1% | 44% | 4 |
2 | ADS QUAL | 113938 | 0% | 100% | 1 |
3 | BIOMATH STAT SCOTLAND GRP | 113938 | 0% | 100% | 1 |
4 | COLEGIO LUIS ANTONIO VERNAY | 113938 | 0% | 100% | 1 |
5 | M TECH B TECH UNIT | 113938 | 0% | 100% | 1 |
6 | PHYSIOL ENGN | 113938 | 0% | 100% | 1 |
7 | SECCAO MATEMAT DCEB | 113938 | 0% | 100% | 1 |
8 | SUPELEC SYST SCI SIGNAL PROC ELECT SYST E3 | 113938 | 0% | 100% | 1 |
9 | INFORMATUMR 8548 | 56968 | 0% | 50% | 1 |
10 | PAMGO | 56968 | 0% | 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 | JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS | 7455 | 3% | 1% | 8 |
2 | COMPUTATIONAL STATISTICS & DATA ANALYSIS | 7454 | 7% | 0% | 18 |
3 | ANNALS OF APPLIED STATISTICS | 6745 | 3% | 1% | 7 |
4 | CONTRIBUTIONS TO STATISTICS | 5167 | 2% | 1% | 6 |
5 | JOURNAL OF MACHINE LEARNING RESEARCH | 4641 | 3% | 1% | 8 |
6 | STATISTICAL ANALYSIS AND DATA MINING | 3642 | 1% | 2% | 2 |
7 | ANNALS OF STATISTICS | 3497 | 4% | 0% | 11 |
8 | PSYCHOMETRIKA | 2036 | 2% | 0% | 5 |
9 | STATISTICAL APPLICATIONS IN GENETICS AND MOLECULAR BIOLOGY | 2025 | 1% | 1% | 3 |
10 | STATISTICS AND COMPUTING | 1795 | 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 | TRENDAFILOV, NT , (2014) FROM SIMPLE STRUCTURE TO SPARSE COMPONENTS: A REVIEW.COMPUTATIONAL STATISTICS. VOL. 29. ISSUE 3-4. P. 431-454 | 20 | 61% | 5 |
2 | ZHAO, Q , MENG, DY , XU, ZB , GAO, CQ , (2015) A BLOCK COORDINATE DESCENT APPROACH FOR SPARSE PRINCIPAL COMPONENT ANALYSIS.NEUROCOMPUTING. VOL. 153. ISSUE . P. 180 -190 | 14 | 78% | 1 |
3 | CARRIZOSA, E , GUERRERO, V , (2014) RS-SPARSE PRINCIPAL COMPONENT ANALYSIS: A MIXED INTEGER NONLINEAR PROGRAMMING APPROACH WITH VNS.COMPUTERS & OPERATIONS RESEARCH. VOL. 52. ISSUE . P. 349 -354 | 14 | 78% | 0 |
4 | HU, ZF , PAN, G , WANG, YM , WU, ZH , (2016) SPARSE PRINCIPAL COMPONENT ANALYSIS VIA ROTATION AND TRUNCATION.IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS. VOL. 27. ISSUE 4. P. 875 -890 | 13 | 72% | 1 |
5 | MEROLA, GM , (2015) LEAST SQUARES SPARSE PRINCIPAL COMPONENT ANALYSIS: A BACKWARD ELIMINATION APPROACH TO ATTAIN LARGE LOADINGS.AUSTRALIAN & NEW ZEALAND JOURNAL OF STATISTICS. VOL. 57. ISSUE 3. P. 391 -429 | 12 | 86% | 0 |
6 | LEI, J , VU, VQ , (2015) SPARSISTENCY AND AGNOSTIC INFERENCE IN SPARSE PCA.ANNALS OF STATISTICS. VOL. 43. ISSUE 1. P. 299 -322 | 14 | 52% | 5 |
7 | PACHECO, J , CASADO, S , PORRAS, S , (2013) EXACT METHODS FOR VARIABLE SELECTION IN PRINCIPAL COMPONENT ANALYSIS: GUIDE FUNCTIONS AND PRE-SELECTION.COMPUTATIONAL STATISTICS & DATA ANALYSIS. VOL. 57. ISSUE 1. P. 95 -111 | 14 | 56% | 8 |
8 | WANG, TY , BERTHET, Q , SAMWORTH, RJ , (2016) STATISTICAL AND COMPUTATIONAL TRADE-OFFS IN ESTIMATION OF SPARSE PRINCIPAL COMPONENTS.ANNALS OF STATISTICS. VOL. 44. ISSUE 5. P. 1896 -1930 | 15 | 43% | 1 |
9 | ADACHI, K , TRENDAFILOV, NT , (2016) SPARSE PRINCIPAL COMPONENT ANALYSIS SUBJECT TO PRESPECIFIED CARDINALITY OF LOADINGS.COMPUTATIONAL STATISTICS. VOL. 31. ISSUE 4. P. 1403 -1427 | 8 | 80% | 0 |
10 | JOLLIFFE, IT , CADIMA, J , (2016) PRINCIPAL COMPONENT ANALYSIS: A REVIEW AND RECENT DEVELOPMENTS.PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES. VOL. 374. ISSUE 2065. P. - | 9 | 38% | 13 |
Classes with closest relation at Level 1 |