{“状态”:“确定”,“消息类型”:“工作”,“信息版本”:“1.0.0”,“邮件”:{“索引”:{-“日期部分”:[[2024,9,8]],“日期时间”:“2024-09-08T02:41:53Z”,“时间戳”:1725763313487},“出版商位置”:“柏林,海德堡”,“参考计数”:12,“出版者”:“施普林格-柏林-海德堡(Springer Berlin Heidelberg)”,“isbn-type”:[{“类型”:”打印“,“值”:“979 83642450617“},{”类型“:“electronic”,“value”:“9783642450624”}],“content-domain”:{“domain”:[],“crossmark-restriction”:false},“short-container-title”:[],”published-print“:{”date-parts“:[[2013]]},”DOI“:”10.1007\/978-3642-45062-4_22“,”type“:”book-capter“,”created“:”{“date-part”:[2013,12,9]],“date-time”:“2013-12-09T13:05:5 0Z”,“时间戳”:1386594350000},“页面”:“163-169”,“source”:“Crossref”,“is-referenced-by-count”:3,“title”:[“High-Sparse Reductions to Kernel Spectral Clustering”],“prefix”:“10.12007”,“author”:[{“givent”:“Raghvendra”,“family”:“Mall”,“sequence”:“first”,“affiliation”:[]},{“给定”:“Rocco”,“家族”:“Langone”,“序列”:“additional”,“从属关系”:[]},“givend”:“Johan A.K.”,“家庭”:“Suykens”,“sequence”:“additional”,“affiliation”:[]}],“member”:“297”,“reference”:[{“key”:“22_CR1”,“first-page”:“849”,“volume-title”:“Proceedings of the Advances in Neural Information Processing Systems”,“author”:“A.Y.Ng”,“year”:“2002”,“unstructured”:“Ng,A.Y.,Jordan,M.I.,Weiss,Y.:关于光谱聚类:分析和算法。In:Dietterich,T.G.,Becker,S.,Ghahramani,Z.(eds.)《神经信息处理系统进展学报》,第849\u2013856页。麻省理工学院出版社,剑桥(2002)“},{“key”:“22_CR2”,“doi-asserted-by”:“crossref”,“unstructured”:“Luxburg,U.:Spectral clustering.Statistics and Computing\u00a017(4),395\u2013416”,“doi”:“10.1007\/s1122-007-9033-z”},}“issue”:“8”,“key“22_CR3”,“doi-assertd-by”:“publisher”,”“first page”:”888“,“doi:”10.1109/34.868688“,”卷“:”22“,”作者“:”史嘉诚“,”年份“:”2000“,”非结构化“:”史嘉诚、马利克、J.:标准化切割和图像分割。IEEE模式分析与智能学报\u00a022(8),888\u2013905(2000)“,”期刊标题“:”IEEE模式研究与智能学报“},{“issue”:“2”,“key”:“22_CR4”,“doi-asserted-by”:“publisher”,“first-page”:“335”,“doi”:“10.1109”\/TPAMI.2008.292“,”卷“32”,“author”:“C.Alzate”,“year”:“2010”,“unstructured”:“Alzate,C.,Suykens,J.A.K.:通过加权核PCA的带样本外扩展的多路光谱聚类。IEEE模式分析与机器智能学报\u00a032(2),335\u2013347(2010)“,“期刊标题”:“IEEE模式解析与机器智能杂志”},{“key”:“22_CR5”,“unstructured”:“Alzate,C.,Suykens,J.A.K.:具有预测样本外扩展的高度稀疏核谱聚类。在:ESANN,pp.235\u2013240(2010)“},{“问题”:“5”,“关键”:“22_CR6”,“doi-asserted-by”:“出版商”,“首页”:“1567”,“doi”:“10.3390\/e15051567”,《卷》:“15”,“作者”:“R.Mall”,“年份”:“2013”,“非结构化”:“Mall,R.,Langone,R.、Suykens,J.A.K.:大数据网络的核心光谱聚类。熵\u00a015(5),1567\u20131586(2013)“,”journal-title“:”Entropy“},{”key“:”22_CR7“,”doi-asserted-by“:”crossref“,”unstructured“:”Langone,R.,Mall,R.、Suykens,J.A.K.:Soft Kernel Spectral Clustering.IJCNN(2013)“,”doi“:”10.1109\/IJCNN.2013.6706850 016\/J.neucom.2011.01.001“,”卷“:”74“,”作者:“C.Alzate”,“year”:“2011”,“unstructured”:“Alzate,C.,Suykens,J.A.K.:大规模数据分析的稀疏核谱聚类模型。神经计算\u00a074(9),1382\u20131390(2011)”,“期刊标题”:“神经计算”},{“密钥”:“22_CR9”,“doi断言”:“出版商”,“doi”:“10.1142\/9789812776655”,“卷标题”:“最小二乘支持向量机”,“作者”:“J.A.K.Suykens”,“年份”:“2002”,“非结构化”:“Suykens,J.A.K.,Van Gestel,T.,De Brabanter,J.,De-Moor,B.,Vandewalle,J.:最小二乘支持向量机。世界科学,新加坡(2002)“},{”issue“:”3“,”key“:”22_CR10“,”doi-asserted-by“:”publisher“,”first-page“:”1000“,”doi“:”10.1162\/089976602317250942“,”volume“:“14”,”author“:”M.Girolami“,”year“:”2002“,”unstructured“:”Girolamia,M.:正交级数密度估计与核特征值问题。神经计算\u00a014(3),1000\u20131017(2002)“,“journal-title”:“神经计算”},{“key”:“22_CR11”,“unstructured”:“Kenney,J.F.,Keeping,E.S.:线性回归和相关性。统计学数学\u00a03(1),ch.15,252\u2013285”}Rabbany,R.、Takaffoli,M.、Fagnan,J.、Zaiane,O.R.、Campello,R.J.G.B.:社区挖掘算法的相对有效性标准。收录于:社会网络分析与挖掘进展国际会议(ASONAM),第258\u2013265页(2012)“,”DOI“:”10.1109\/ASONAM.2012.52“}],”container-title“:[”计算机科学讲义“,”模式识别与机器智能“],”原文标题“:[],”链接“:[{”URL“:”http:\/\/link.springer.com/content\/pdf\/10.1007\/978-3642-45062-4_22“,”content-type“:”unspecified“,”content-version“:”vor“,”intended-application“:”similarity-checking“}],”deposed“:{”date-parts“:[[2019,5,25]],”date-time“:“2019-05-25T09:23:48Z”,“timestamp”:1558776228000},“score”:1,“resource”:{“primary”:{“URL”:“http://\/link.springer.com/10.1007\/978-3642-45062-4_22“}},”副标题“:[],”短标题“:[],”已发布“:{”日期部分“:[[2013]]},“ISBN”:[“9783642450617”,“978364 2450624”],”参考计数“:12,”URL“http://\/dx.doi.org\/10.10007\/978-3642-450 _22”,“关系”:{},:[“0302-9743”,“1611-3349”],“ISSN-type”:[{“类型”:“打印”,“值”:“0302-7743”},{“键入“:”electronic“,”value“:”1611-3349“}],”subject“:[],”published“:{”date-parts“:[[2013]]}}