Class information for: |
Basic class information |
Class id | #P | Avg. number of references |
Database coverage of references |
---|---|---|---|
1464 | 2647 | 30.8 | 43% |
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 |
235 | 2 | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE//FEATURE SELECTION//MACHINE LEARNING | 20237 |
1464 | 1 | FUZZY CLUSTERING//CLUSTERING//CLUSTER VALIDITY | 2647 |
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 | FUZZY CLUSTERING | authKW | 879511 | 11% | 26% | 298 |
2 | CLUSTERING | authKW | 552883 | 24% | 8% | 637 |
3 | CLUSTER VALIDITY | authKW | 456694 | 2% | 60% | 66 |
4 | CLUSTER ENSEMBLE | authKW | 343508 | 2% | 68% | 44 |
5 | K MEANS | authKW | 328729 | 5% | 20% | 142 |
6 | DATA CLUSTERING | authKW | 284885 | 4% | 27% | 93 |
7 | CLUSTER VALIDITY INDEX | authKW | 282926 | 1% | 63% | 39 |
8 | FUZZY C MEANS | authKW | 270258 | 4% | 21% | 112 |
9 | CLUSTERING ENSEMBLE | authKW | 248706 | 1% | 74% | 29 |
10 | PARTITIONAL CLUSTERING | authKW | 233550 | 1% | 75% | 27 |
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 | 147803 | 61% | 1% | 1623 |
2 | Computer Science, Information Systems | 11016 | 17% | 0% | 453 |
3 | Computer Science, Theory & Methods | 5830 | 13% | 0% | 355 |
4 | Engineering, Electrical & Electronic | 4841 | 27% | 0% | 702 |
5 | Computer Science, Interdisciplinary Applications | 2236 | 8% | 0% | 222 |
6 | Operations Research & Management Science | 1859 | 6% | 0% | 170 |
7 | Statistics & Probability | 1824 | 7% | 0% | 182 |
8 | Computer Science, Cybernetics | 1116 | 2% | 0% | 53 |
9 | Computer Science, Software Engineering | 528 | 4% | 0% | 99 |
10 | Mathematics, Applied | 495 | 7% | 0% | 178 |
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 | MACHINE INTELLIGENCE UNIT | 53612 | 2% | 10% | 45 |
2 | VNU UNIV SCI | 30436 | 0% | 20% | 13 |
3 | DIPARTIMENTO PSICHIATRIA NEUROPSICHIATRIA INFANTI | 23068 | 0% | 100% | 2 |
4 | INT DIGITAL HLTH | 23068 | 0% | 100% | 2 |
5 | JAIN | 23068 | 0% | 100% | 2 |
6 | NEUVAS TECNOL | 23068 | 0% | 100% | 2 |
7 | COMPUTAT INTELLIGENCE CHINESE INFORMAT | 20342 | 1% | 13% | 14 |
8 | INFORMAT IMAGERIE IND | 18450 | 0% | 40% | 4 |
9 | E BUSINESS TECHNOL | 17952 | 0% | 17% | 9 |
10 | DATA ANAL MACHINE INTELLIGENCE | 17298 | 0% | 50% | 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 | PATTERN RECOGNITION | 81453 | 8% | 3% | 220 |
2 | IEEE TRANSACTIONS ON FUZZY SYSTEMS | 52930 | 4% | 5% | 94 |
3 | PATTERN RECOGNITION LETTERS | 45451 | 6% | 3% | 151 |
4 | INTELLIGENT DATA ANALYSIS | 24437 | 1% | 6% | 36 |
5 | KNOWLEDGE AND INFORMATION SYSTEMS | 21122 | 2% | 4% | 44 |
6 | DATA MINING AND KNOWLEDGE DISCOVERY | 16612 | 1% | 5% | 29 |
7 | INFORMATION SCIENCES | 13540 | 4% | 1% | 95 |
8 | FUZZY SETS AND SYSTEMS | 12875 | 3% | 1% | 90 |
9 | IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING | 11943 | 2% | 2% | 56 |
10 | SOFT COMPUTING | 11214 | 2% | 2% | 46 |
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 | FUZZY CLUSTERING | 879511 | 11% | 26% | 298 | Search FUZZY+CLUSTERING | Search FUZZY+CLUSTERING |
2 | CLUSTERING | 552883 | 24% | 8% | 637 | Search CLUSTERING | Search CLUSTERING |
3 | CLUSTER VALIDITY | 456694 | 2% | 60% | 66 | Search CLUSTER+VALIDITY | Search CLUSTER+VALIDITY |
4 | CLUSTER ENSEMBLE | 343508 | 2% | 68% | 44 | Search CLUSTER+ENSEMBLE | Search CLUSTER+ENSEMBLE |
5 | K MEANS | 328729 | 5% | 20% | 142 | Search K+MEANS | Search K+MEANS |
6 | DATA CLUSTERING | 284885 | 4% | 27% | 93 | Search DATA+CLUSTERING | Search DATA+CLUSTERING |
7 | CLUSTER VALIDITY INDEX | 282926 | 1% | 63% | 39 | Search CLUSTER+VALIDITY+INDEX | Search CLUSTER+VALIDITY+INDEX |
8 | FUZZY C MEANS | 270258 | 4% | 21% | 112 | Search FUZZY+C+MEANS | Search FUZZY+C+MEANS |
9 | CLUSTERING ENSEMBLE | 248706 | 1% | 74% | 29 | Search CLUSTERING+ENSEMBLE | Search CLUSTERING+ENSEMBLE |
10 | PARTITIONAL CLUSTERING | 233550 | 1% | 75% | 27 | Search PARTITIONAL+CLUSTERING | Search PARTITIONAL+CLUSTERING |
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 | NANDA, SJ , PANDA, G , (2014) A SURVEY ON NATURE INSPIRED METAHEURISTIC ALGORITHMS FOR PARTITIONAL CLUSTERING.SWARM AND EVOLUTIONARY COMPUTATION. VOL. 16. ISSUE . P. 1 -18 | 97 | 49% | 33 |
2 | HANCER, E , KARABOGA, D , (2017) A COMPREHENSIVE SURVEY OF TRADITIONAL, MERGE-SPLIT AND EVOLUTIONARY APPROACHES PROPOSED FOR DETERMINATION OF CLUSTER NUMBER.SWARM AND EVOLUTIONARY COMPUTATION. VOL. 32. ISSUE . P. 49 -67 | 79 | 69% | 0 |
3 | JOSE-GARCIA, A , GOMEZ-FLORES, W , (2016) AUTOMATIC CLUSTERING USING NATURE-INSPIRED METAHEURISTICS: A SURVEY.APPLIED SOFT COMPUTING. VOL. 41. ISSUE . P. 192 -213 | 65 | 64% | 2 |
4 | DENG, ZH , CHOI, KS , JIANG, YZ , WANG, J , WANG, ST , (2016) A SURVEY ON SOFT SUBSPACE CLUSTERING.INFORMATION SCIENCES. VOL. 348. ISSUE . P. 84 -106 | 41 | 82% | 4 |
5 | XIAO, Y , YU, J , (2012) PARTITIVE CLUSTERING (K-MEANS FAMILY).WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY. VOL. 2. ISSUE 3. P. 209 -225 | 48 | 76% | 6 |
6 | XU, R , WUNSCH, D , (2005) SURVEY OF CLUSTERING ALGORITHMS.IEEE TRANSACTIONS ON NEURAL NETWORKS. VOL. 16. ISSUE 3. P. 645 -678 | 49 | 31% | 1522 |
7 | ABADPOUR, A , (2015) A SEQUENTIAL BAYESIAN ALTERNATIVE TO THE CLASSICAL PARALLEL FUZZY CLUSTERING MODEL.INFORMATION SCIENCES. VOL. 318. ISSUE . P. 28 -47 | 41 | 72% | 0 |
8 | ZHOU, KL , YANG, SL , (2016) EXPLORING THE UNIFORM EFFECT OF FCM CLUSTERING: A DATA DISTRIBUTION PERSPECTIVE.KNOWLEDGE-BASED SYSTEMS. VOL. 96. ISSUE . P. 76 -83 | 31 | 79% | 2 |
9 | ABADPOUR, A , (2016) REDERIVATION OF THE FUZZY-POSSIBILISTIC CLUSTERING OBJECTIVE FUNCTION THROUGH BAYESIAN INFERENCE.FUZZY SETS AND SYSTEMS. VOL. 305. ISSUE . P. 29 -53 | 39 | 72% | 0 |
10 | INKAYA, T , KAYALIGIL, S , OZDEMIREL, NE , (2015) ANT COLONY OPTIMIZATION BASED CLUSTERING METHODOLOGY.APPLIED SOFT COMPUTING. VOL. 28. ISSUE . P. 301 -311 | 31 | 74% | 13 |
Classes with closest relation at Level 1 |