Publication Information

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'거리': [8], '기반': [9, 49], '등으로': [10], '군집': [11], '화를': [12], '하는': [13], '비지도학습': [14], '방법이다.': [15], '이': [16, 78, 87], '방법은': [17], '이미지,': [18], '텍스트,': [19], '음성': [20], '등': [21], '다양한': [22], '데이터에': [23], '대해서': [24, 124, 129], '라벨링이': [25], '없이': [26], '적용': [27], '할': [28], '수': [29], '있다는': [30], '장점이': [31], '있다.': [32, 69], '기존': [33], '클러스터링을': [34, 98], '하기': [35], '위해': [36], '차원축소': [37], '기법을': [38, 76], '적용하거나': [39], '특정': [40], '특징만을': [41], '추출하여': [42], '군': [43], '집화하는': [44], '방법이': [45], '적용되었다.': [46], '하지만': [47], '딥러닝': [48, 72], '모델이': [50], '발전하면서': [51], '입력': [52, 82], '잠재': [54, 84, 88], '벡터로': [55, 85], '표현하는': [56], '오토인': [57], '코더,': [58], '생성': [59], '적대적': [60], '네트워크': [61], '등을': [62], '통해서': [63], '딥': [64, 74], '클러스터링의': [65], '기술이': [66], '연구가': [67], '되고': [68], '본': [70], '연구에서,': [71], '기반의': [73], '클러스터링': [75], '제안하였다.': [77], '방법에서': [79], '오토인코더를': [80], '이용하여': [81, 106], '변환하고': [86], '벡터를': [89], '클러스터': [90], '구조에': [91], '맞게': [92], '벡터': [93], '공간을': [94], '구성': [95], '및': [96], 'k-평균': [97], '하였다.': [99], '실험': [100], '환경으로': [101], 'pytorch': [102], '머': [103], '신러닝': [104], '라이브러리를': [105], '데이터셋으로': [107], 'MNIST와': [108], 'Fashion-MNIST을': [109], '적용하였다.': [110], '모델로는': [111], '컨볼루션': [112], '신경': [113], '망': [114], '기반인': [115], '오토인코더': [116], '모델을': [117], '사용하였다.': [118], '실험결과로': [119], 'k가': [120], '10일': [121], '때,': [122], 'MNIST에': [123], '89.42%': [125], '정확도를': [126, 131], '가졌으며': [127], 'Fashion-MNIST에': [128], '56.64%': [130], '가진다.': [132]}, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W4389249638', 'counts_by_year': [], 'updated_date': '2025-01-04T00:20:31.853343', 'created_date': '2023-12-02'}