Publication Information

{'id': 'https://openalex.org/W3035098932', 'doi': 'https://doi.org/10.1007/s11634-020-00407-6', 'title': 'Special issue on “Innovations on model based clustering and classification”', 'display_name': 'Special issue on “Innovations on model based clustering and classification”', 'publication_year': 2020, 'publication_date': '2020-06-01', 'ids': {'openalex': 'https://openalex.org/W3035098932', 'doi': 'https://doi.org/10.1007/s11634-020-00407-6', 'mag': '3035098932'}, 'language': 'en', 'primary_location': {'is_oa': True, 'landing_page_url': 'https://doi.org/10.1007/s11634-020-00407-6', 'pdf_url': 'https://link.springer.com/content/pdf/10.1007/s11634-020-00407-6.pdf', 'source': {'id': 'https://openalex.org/S4210175730', 'display_name': 'Advances in Data Analysis and Classification', 'issn_l': '1862-5355', 'issn': ['1862-5355', '1862-5347'], 'is_oa': False, 'is_in_doaj': False, 'is_core': True, 'host_organization': 'https://openalex.org/P4310319900', 'host_organization_name': 'Springer Science+Business Media', 'host_organization_lineage': ['https://openalex.org/P4310319965', 'https://openalex.org/P4310319900'], 'host_organization_lineage_names': ['Springer Nature', 'Springer Science+Business Media'], 'type': 'journal'}, 'license': None, 'license_id': None, 'version': 'publishedVersion', 'is_accepted': True, 'is_published': True}, 'type': 'article', 'type_crossref': 'journal-article', 'indexed_in': ['crossref'], 'open_access': {'is_oa': True, 'oa_status': 'bronze', 'oa_url': 'https://link.springer.com/content/pdf/10.1007/s11634-020-00407-6.pdf', 'any_repository_has_fulltext': False}, 'authorships': [{'author_position': 'first', 'author': {'id': 'https://openalex.org/A5025879237', 'display_name': 'Christophe Biernacki', 'orcid': 'https://orcid.org/0000-0002-8995-0568'}, 'institutions': [], 'countries': ['FR'], 'is_corresponding': True, 'raw_author_name': 'Christophe Biernacki', 'raw_affiliation_strings': ['Lille, France'], 'affiliations': [{'raw_affiliation_string': 'Lille, France', 'institution_ids': []}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5056108169', 'display_name': 'Luis Ángel García-Escudero', 'orcid': 'https://orcid.org/0000-0002-7617-3034'}, 'institutions': [], 'countries': ['ES'], 'is_corresponding': False, 'raw_author_name': 'Luis Angel García-Escudero', 'raw_affiliation_strings': ['Valladolid, Spain'], 'affiliations': [{'raw_affiliation_string': 'Valladolid, Spain', 'institution_ids': []}]}, {'author_position': 'last', 'author': {'id': 'https://openalex.org/A5007129282', 'display_name': 'Salvatore Ingrassia', 'orcid': 'https://orcid.org/0000-0003-2052-4226'}, 'institutions': [], 'countries': ['IT'], 'is_corresponding': False, 'raw_author_name': 'Salvatore Ingrassia', 'raw_affiliation_strings': ['Catania, Italy'], 'affiliations': [{'raw_affiliation_string': 'Catania, Italy', 'institution_ids': []}]}], 'institution_assertions': [], 'countries_distinct_count': 3, 'institutions_distinct_count': 0, 'corresponding_author_ids': ['https://openalex.org/A5025879237'], 'corresponding_institution_ids': [], 'apc_list': {'value': 2390, 'currency': 'EUR', 'value_usd': 2990, 'provenance': 'doaj'}, 'apc_paid': None, 'fwci': 0.33, 'has_fulltext': True, 'fulltext_origin': 'pdf', 'cited_by_count': 1, 'citation_normalized_percentile': {'value': 0.65725, 'is_in_top_1_percent': False, 'is_in_top_10_percent': False}, 'cited_by_percentile_year': {'min': 61, 'max': 70}, 'biblio': {'volume': '14', 'issue': '2', 'first_page': '231', 'last_page': '234'}, 'is_retracted': False, 'is_paratext': False, 'primary_topic': {'id': 'https://openalex.org/T10538', 'display_name': 'Data Mining Techniques and Applications', 'score': 0.556, 'subfield': {'id': 'https://openalex.org/subfields/1710', 'display_name': 'Information Systems'}, 'field': {'id': 'https://openalex.org/fields/17', 'display_name': 'Computer Science'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}, 'topics': [{'id': 'https://openalex.org/T10538', 'display_name': 'Data Mining Techniques and Applications', 'score': 0.556, 'subfield': {'id': 'https://openalex.org/subfields/1710', 'display_name': 'Information Systems'}, 'field': {'id': 'https://openalex.org/fields/17', 'display_name': 'Computer Science'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}, {'id': 'https://openalex.org/T10637', 'display_name': 'Data Clustering Techniques and Algorithms', 'score': 0.542, 'subfield': {'id': 'https://openalex.org/subfields/1702', 'display_name': 'Artificial Intelligence'}, 'field': {'id': 'https://openalex.org/fields/17', 'display_name': 'Computer Science'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}], 'keywords': [{'id': 'https://openalex.org/keywords/semi-supervised-clustering', 'display_name': 'Semi-supervised Clustering', 'score': 0.556654}, {'id': 'https://openalex.org/keywords/density-based-clustering', 'display_name': 'Density-based Clustering', 'score': 0.553535}, {'id': 'https://openalex.org/keywords/document-clustering', 'display_name': 'Document Clustering', 'score': 0.552818}, {'id': 'https://openalex.org/keywords/knowledge-discovery', 'display_name': 'Knowledge Discovery', 'score': 0.537704}, {'id': 'https://openalex.org/keywords/clustering-algorithms', 'display_name': 'Clustering Algorithms', 'score': 0.532279}], 'concepts': [{'id': 'https://openalex.org/C73555534', 'wikidata': 'https://www.wikidata.org/wiki/Q622825', 'display_name': 'Cluster analysis', 'level': 2, 'score': 0.6726031}, {'id': 'https://openalex.org/C41008148', 'wikidata': 'https://www.wikidata.org/wiki/Q21198', 'display_name': 'Computer science', 'level': 0, 'score': 0.5093978}, {'id': 'https://openalex.org/C154945302', 'wikidata': 'https://www.wikidata.org/wiki/Q11660', 'display_name': 'Artificial intelligence', 'level': 1, 'score': 0.37665737}, {'id': 'https://openalex.org/C2522767166', 'wikidata': 'https://www.wikidata.org/wiki/Q2374463', 'display_name': 'Data science', 'level': 1, 'score': 0.37106454}], 'mesh': [], 'locations_count': 1, 'locations': [{'is_oa': True, 'landing_page_url': 'https://doi.org/10.1007/s11634-020-00407-6', 'pdf_url': 'https://link.springer.com/content/pdf/10.1007/s11634-020-00407-6.pdf', 'source': {'id': 'https://openalex.org/S4210175730', 'display_name': 'Advances in Data Analysis and Classification', 'issn_l': '1862-5355', 'issn': ['1862-5355', '1862-5347'], 'is_oa': False, 'is_in_doaj': False, 'is_core': True, 'host_organization': 'https://openalex.org/P4310319900', 'host_organization_name': 'Springer Science+Business Media', 'host_organization_lineage': ['https://openalex.org/P4310319965', 'https://openalex.org/P4310319900'], 'host_organization_lineage_names': ['Springer Nature', 'Springer Science+Business Media'], 'type': 'journal'}, 'license': None, 'license_id': None, 'version': 'publishedVersion', 'is_accepted': True, 'is_published': True}], 'best_oa_location': {'is_oa': True, 'landing_page_url': 'https://doi.org/10.1007/s11634-020-00407-6', 'pdf_url': 'https://link.springer.com/content/pdf/10.1007/s11634-020-00407-6.pdf', 'source': {'id': 'https://openalex.org/S4210175730', 'display_name': 'Advances in Data Analysis and Classification', 'issn_l': '1862-5355', 'issn': ['1862-5355', '1862-5347'], 'is_oa': False, 'is_in_doaj': False, 'is_core': True, 'host_organization': 'https://openalex.org/P4310319900', 'host_organization_name': 'Springer Science+Business Media', 'host_organization_lineage': ['https://openalex.org/P4310319965', 'https://openalex.org/P4310319900'], 'host_organization_lineage_names': ['Springer Nature', 'Springer Science+Business Media'], 'type': 'journal'}, 'license': None, 'license_id': None, 'version': 'publishedVersion', 'is_accepted': True, 'is_published': True}, 'sustainable_development_goals': [], 'grants': [], 'datasets': [], 'versions': [], 'referenced_works_count': 0, 'referenced_works': [], 'related_works': ['https://openalex.org/W763609066', 'https://openalex.org/W4312262955', 'https://openalex.org/W4247880953', 'https://openalex.org/W4225131637', 'https://openalex.org/W4205197633', 'https://openalex.org/W3093731987', 'https://openalex.org/W3046266032', 'https://openalex.org/W2380998760', 'https://openalex.org/W1999627569', 'https://openalex.org/W1996408511'], 'abstract_inverted_index': {'This': [0], 'is': [1, 178, 258], 'the': [2, 69, 108, 132, 174, 184, 196, 200, 211, 214, 217, 222, 235, 238], 'fourth': [3], 'Special': [4, 55], 'Issue': [5, 56], 'of': [6, 71, 73, 110, 112, 155, 158, 168, 195, 199, 213, 216, 225, 234, 237, 278], 'ADAC': [7], 'dedicated': [8], 'to': [9, 107, 180, 183, 264], 'recent': [10], 'developments': [11], 'in': [12, 24, 38, 135, 164, 203, 210], 'Model-Based': [13], 'Clustering': [14], 'and': [15, 27, 97, 122, 148, 188, 209, 231, 251, 272], 'Classification,': [16], 'an': [17, 262], 'area': [18, 70, 109], 'which': [19, 43, 165], 'provides': [20], 'increasingly': [21], 'active': [22], 'research': [23], 'both': [25, 247], 'theoretical': [26, 229], 'applied': [28], 'domains.The': [29], 'Call': [30], 'for': [31, 33, 48, 85, 173, 206, 282], 'Papers': [32], 'this': [34, 136, 227], 'special': [35, 137], 'issue': [36], 'resulted': [37], '46': [39], 'manuscript': [40], 'submissions,': [41], 'among': [42, 254], '10': [44], 'have': [45], 'been': [46], 'accepted': [47], 'publication': [49], 'after': [50], 'a': [51, 128, 152], 'blinded': [52], 'peer-reviewing': [53], 'process.This': [54], 'contains': [57], 'papers': [58, 66, 80, 105, 116, 133], 'dealing': [59], 'with': [60, 82, 91, 280], 'quite': [61], 'different': [62, 76, 166, 242, 248], 'topics.The': [63], 'first': [64], 'three': [65, 78], 'focus': [67], 'on': [68, 131], 'mixtures': [72, 111, 157, 277], 'regressions': [74, 279], 'from': [75], 'perspectives.The': [77], 'following': [79], 'deal': [81], 'mixture': [83], 'models': [84, 163], 'robust': [86], 'model-based': [87], 'clustering,': [88], 'data': [89, 181], 'modeling': [90, 98], 'multiple': [92], 'partial': [93], 'right': [94], 'censoring': [95], 'points,': [96], 'under': [99, 221, 241], 'measurement': [100], 'inconsistency,': [101], 'respectively.The': [102], 'next': [103, 267], 'two': [104, 287], 'belong': [106], 'skewed': [113], 'distributions.Two': [114], 'final': [115], 'concern': [117], 'particle': [118], 'Monte': [119], 'Carlo': [120], 'methods': [121], 'stochastic': [123], 'block': [124], 'models.Below,': [125], 'we': [126], 'provide': [127], 'short': [129], 'overview': [130], 'published': [134], 'issue.The': [138], 'paper': [139, 201, 268], '"Seemingly': [140], 'unrelated': [141], 'clusterwise': [142], 'linear': [143, 161], 'regression"': [144], 'by': [145, 261, 269], 'Giuliano': [146], 'Galimberti': [147], 'Gabriele': [149], 'Soffritti': [150], 'presents': [151], 'flexible': [153], 'class': [154, 224], 'finite': [156, 288], 'multivariate': [159], 'Gaussian': [160], 'regression': [162, 255], 'vectors': [167], 'predictors': [169], 'can': [170], 'be': [171], 'used': [172], 'dependent': [175], 'variables.The': [176], 'model': [177, 191, 207, 257], 'fit': [179], 'according': [182], 'maximum': [185, 218], 'likelihood': [186, 219], 'approach': [187], 'some': [189], 'parsimonious': [190], 'are': [192, 244], 'introduced': [193], 'too.One': [194], 'main': [197], 'contributions': [198], 'consists': [202], 'providing': [204], 'conditions': [205], 'identifiability': [208], 'analysis': [212], 'consistency': [215], 'estimator': [220, 240], 'proposed': [223], 'models.In': [226], 'framework,': [228], 'results': [230], 'simulation': [232], 'studies': [233], 'behavior': [236], 'ML': [239], 'scenarios': [243], 'provided,': [245], 'considering': [246], 'sample': [249], 'sizes': [250], 'overlap': [252], 'levels': [253], 'models.The': [256], 'also': [259], 'illustrated': [260], 'application': [263], 'real': [265], 'data.The': [266], 'Sijia': [270], 'Xiang': [271], 'Weixin': [273], 'Yao': [274], 'entitled': [275], '"Semiparametric': [276], 'single-index': [281], 'Model': [283], 'Based': [284], 'Clustering"': [285], 'proposes': [286]}, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W3035098932', 'counts_by_year': [{'year': 2022, 'cited_by_count': 1}], 'updated_date': '2024-09-26T02:44:08.361827', 'created_date': '2020-06-19'}