مقاله خوشه بندی محدود و جریمه مشترک با همه سازگاری ، انعطاف پذیری

عنوان مقاله فارسی: خوشه بندی محدود و جریمه مشترک با همه سازگاری ، انعطاف پذیری ، و استحکام عنوان مقاله لاتین: Affinity and Penalty Jointly Constrained Spectral Clustering With All-Compatibility, Flexibility, and Robustness نویسندگان: Pengjiang Qian; Yizhang Jiang; Shitong Wang; Kuan-Hao Su; Jun Wang; Lingzhi Hu; Raymond F. Muzic تعداد صفحات: 15 سال انتشار: 2017 زبان: لاتین Abstract: The existing, semisupervised, spectral clustering approaches have two major drawbacks, i.e., either they cannot cope with multiple categories of supervision or they sometimes exhibit unstable effectiveness. To address these issues, two normalized affinity and penalty jointly constrained spectral clustering frameworks as well as their corresponding algorithms, referred to as type-I affinity and penalty jointly constrained spectral clustering (TI-APJCSC)