MCLUST: Software for model-based cluster analysis

[1] MODEL-BASED GAUSSIAN AND NON-GAUSSIAN CLUSTERING [J]. BIOMETRICS, 1993, 49 (03) : 803 - 821

[2] Linear flaw detection in woven textiles using model-based clustering [J]. PATTERN RECOGNITION LETTERS, 1997, 18 (14) : 1539 - 1548

[3] GAUSSIAN PARSIMONIOUS CLUSTERING MODELS [J]. PATTERN RECOGNITION, 1995, 28 (05) : 781 - 793

[4] Detecting features in spatial point processes with clutter via model-based clustering [J]. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 1998, 93 (441) : 294 - 302

[5] MAXIMUM LIKELIHOOD FROM INCOMPLETE DATA VIA EM ALGORITHM [J]. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-METHODOLOGICAL, 1977, 39 (01): : 1 - 38

[6] The use of multiple measurements in taxonomic problems [J]. ANNALS OF EUGENICS, 1936, 7 : 179 - 188

[7] How many clusters? Which clustering method? Answers via model-based cluster analysis [J]. COMPUTER JOURNAL, 1998, 41 (08) : 578 - 588

[8] Algorithms for model-based Gaussian hierarchical clustering [J]. SIAM JOURNAL ON SCIENTIFIC COMPUTING, 1998, 20 (01) : 270 - 281

[9] ON SOME INVARIANT CRITERIA FOR GROUPING DATA [J]. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 1967, 62 (320) : 1159 - &

[10] Jeffreys H., 1998, The theory of probability

[1] MODEL-BASED GAUSSIAN AND NON-GAUSSIAN CLUSTERING [J]. BIOMETRICS, 1993, 49 (03) : 803 - 821

[2] Linear flaw detection in woven textiles using model-based clustering [J]. PATTERN RECOGNITION LETTERS, 1997, 18 (14) : 1539 - 1548

[3] GAUSSIAN PARSIMONIOUS CLUSTERING MODELS [J]. PATTERN RECOGNITION, 1995, 28 (05) : 781 - 793

[4] Detecting features in spatial point processes with clutter via model-based clustering [J]. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 1998, 93 (441) : 294 - 302

[5] MAXIMUM LIKELIHOOD FROM INCOMPLETE DATA VIA EM ALGORITHM [J]. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-METHODOLOGICAL, 1977, 39 (01): : 1 - 38

[6] The use of multiple measurements in taxonomic problems [J]. ANNALS OF EUGENICS, 1936, 7 : 179 - 188

[7] How many clusters? Which clustering method? Answers via model-based cluster analysis [J]. COMPUTER JOURNAL, 1998, 41 (08) : 578 - 588

[8] Algorithms for model-based Gaussian hierarchical clustering [J]. SIAM JOURNAL ON SCIENTIFIC COMPUTING, 1998, 20 (01) : 270 - 281

[9] ON SOME INVARIANT CRITERIA FOR GROUPING DATA [J]. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 1967, 62 (320) : 1159 - &

[10] Jeffreys H., 1998, The theory of probability