{"id":5968,"date":"2023-04-11T10:06:02","date_gmt":"2023-04-11T02:06:02","guid":{"rendered":"https:\/\/www.neuvition.cn\/?p=5968"},"modified":"2023-05-23T10:12:58","modified_gmt":"2023-05-23T02:12:58","slug":"%e8%81%9a%e7%b1%bb%e7%ae%97%e6%b3%95","status":"publish","type":"post","link":"https:\/\/www.neuvition.cn\/technology-blog\/%e8%81%9a%e7%b1%bb%e7%ae%97%e6%b3%95.html","title":{"rendered":"\u805a\u7c7b\u7b97\u6cd5"},"content":{"rendered":"\n<p>\u805a\u7c7b\u7b97\u6cd5\uff1a\u8fd9\u4e9b\u7b97\u6cd5\u6839\u636e\u5b83\u4eec\u7684\u7a7a\u95f4\u63a5\u8fd1\u6027\u5c06\u70b9\u5206\u7ec4\uff0c\u4ee5\u8bc6\u522b\u573a\u666f\u4e2d\u7684\u5bf9\u8c61\u6216\u7279\u5f81\u3002<\/p>\n\n\n\n<p><strong>\u6fc0\u5149\u96f7\u8fbe\u70b9\u4e91\u805a\u7c7b\u7b97\u6cd5\u7684\u5e94\u7528<\/strong><\/p>\n\n\n\n<p>\u6fc0\u5149\u96f7\u8fbe\u70b9\u4e91\u805a\u7c7b\u7b97\u6cd5\u5728\u81ea\u52a8\u9a7e\u9a76\u3001\u673a\u5668\u4eba\u548c\u73af\u5883\u76d1\u6d4b\u7b49\u5404\u79cd\u5e94\u7528\u4e2d\u90fd\u6709\u6240\u4f7f\u7528\u3002\u8fd9\u4e9b\u7b97\u6cd5\u5c06\u5c5e\u4e8e\u540c\u4e00\u5bf9\u8c61\u6216\u8868\u9762\u7684\u6fc0\u5149\u96f7\u8fbe\u70b9\u4e91\u4e2d\u7684\u5355\u4e2a\u70b9\u5206\u7ec4\uff0c\u4ece\u800c\u5b9e\u73b0\u66f4\u51c6\u786e\u3001\u9ad8\u6548\u5730\u5904\u7406\u6570\u636e\u3002\u5728\u81ea\u52a8\u9a7e\u9a76\u4e2d\uff0c\u6fc0\u5149\u96f7\u8fbe\u70b9\u4e91\u805a\u7c7b\u7b97\u6cd5\u88ab\u7528\u6765\u8bc6\u522b\u548c\u8ddf\u8e2a\u9053\u8def\u4e0a\u5176\u4ed6\u8f66\u8f86\u3001\u884c\u4eba\u548c\u969c\u788d\u7269\u3002\u5728\u673a\u5668\u4eba\u9886\u57df\uff0c\u8fd9\u4e9b\u7b97\u6cd5\u88ab\u7528\u6765\u68c0\u6d4b\u548c\u5206\u7c7b\u673a\u5668\u4eba\u73af\u5883\u4e2d\u7684\u7269\u4f53\uff0c\u4ece\u800c\u5b9e\u73b0\u66f4\u6709\u6548\u5730\u5bfc\u822a\u548c\u64cd\u4f5c\u3002\u5728\u73af\u5883\u76d1\u6d4b\u65b9\u9762\uff0c\u6fc0\u5149\u96f7\u8fbe\u70b9\u4e91\u805a\u7c7b\u7b97\u6cd5\u53ef\u4ee5\u7528\u4e8e\u8bc6\u522b\u548c\u6d4b\u91cf\u690d\u88ab\u6216\u5730\u5f62\u53d8\u5316\uff0c\u5728\u76d1\u6d4b\u548c\u4fdd\u62a4\u81ea\u7136\u8d44\u6e90\u65b9\u9762\u53d1\u6325\u4f5c\u7528\u3002<\/p>\n\n\n\n<p><strong>\u4ee5\u4e0b\u662f\u5341\u79cd\u5e38\u89c1\u7684LiDAR \u70b9\u4e91\u805a\u7c7b\u7b97\u6cd5\u53ca\u5176\u7b80\u8981\u63cf\u8ff0\u4e0e\u4e0b\u8f7d\u94fe\u63a5\uff1a<\/strong><\/p>\n\n\n\n<p>1. K-Means Clustering\uff08K\u5747\u503c\u805a\u7c7b\uff09\uff1a\u8fd9\u662f\u4e00\u79cd\u5c06\u70b9\u4e91\u805a\u6210\u9884\u5b9a\u4e49\u6570\u91cf\u7c07\u7fa4\u96c6\u5408\uff08cluster\uff09 \u7684\u6d41\u884c\u7b97\u6cd5\u3002\u8be5\u7b97\u6cd5\u8fed\u4ee3\u5730\u5c06\u6bcf\u4e2a\u70b9\u5206\u914d\u5230\u6700\u8fd1\u7684\u7c07\u4e2d\u5fc3\uff0c\u7136\u540e\u6839\u636e\u6240\u5206\u914d\u70b9\u7684\u5e73\u5747\u503c\u66f4\u65b0\u4e2d\u5fc3\u3002<\/p>\n\n\n\n<p>\u4e0b\u8f7d\u94fe\u63a5\uff1ahttps:\/\/scikit-learn.org\/stable\/modules\/generated\/sklearn.cluster.KMeans.html<\/p>\n\n\n\n<p>2. DBSCAN\uff08\u5bc6\u5ea6\u805a\u7c7b\u7b97\u6cd5\uff09\uff1a\u57fa\u4e8e\u5bc6\u5ea6\u7684\u5e26\u566a\u58f0\u7a7a\u95f4\u805a\u7c7b\u662f\u4e00\u79cd\u805a\u7c7b\u7b97\u6cd5\uff0c\u5b83\u6839\u636e\u5bc6\u5ea6\u5c06\u70b9\u5206\u7ec4\u3002\u8be5\u7b97\u6cd5\u8bc6\u522b\u51fa\u7a20\u5bc6\u533a\u57df\u5e76\u5c06\u5176\u5206\u6210\u7c07\u7fa4\u96c6\u5408\uff0c\u540c\u65f6\u5c06\u79bb\u7fa4\u503c\u5f52\u4e3a\u566a\u58f0\u3002<\/p>\n\n\n\n<p>\u4e0b\u8f7d\u94fe\u63a5\uff1ahttps:\/\/scikit-learn.org\/stable\/modules\/generated\/sklearn.cluster.DBSCAN.html<\/p>\n\n\n\n<p>3. Hierarchical Clustering\uff08\u5c42\u6b21\u805a\u7c7b\uff09\uff1a\u8fd9\u662f\u4e00\u79cd\u57fa\u4e8e\u5c42\u6b21\u7ed3\u6784\u5bf9\u70b9\u8fdb\u884c\u5206\u7ec4\u7684\u805a\u7c7b\u7b97\u6cd5\u3002\u8be5\u7b97\u6cd5\u6309\u76f8\u4f3c\u6027\u8fed\u4ee3\u5730\u5408\u5e76\u7c07\u7fa4\u96c6\u5408\uff0c\u76f4\u5230\u6240\u6709\u70b9\u90fd\u5c5e\u4e8e\u5355\u4e2a\u7c07\u3002<\/p>\n\n\n\n<p>\u4e0b\u8f7d\u94fe\u63a5\uff1ahttps:\/\/scikit-learn.org\/stable\/modules\/generated\/sklearn.cluster.AgglomerativeClustering.html<\/p>\n\n\n\n<p>4. Spectral Clustering\uff08\u8c31\u805a\u7c7b\uff09: \u8be5\u7b97\u6cd5\u901a\u8fc7\u8ba1\u7b97\u76f8\u4f3c\u6027\u77e9\u9635\u7684\u8c31\u5d4c\u5165\u6765\u5bf9\u6570\u636e\u8fdb\u884c\u964d\u7ef4\uff0c\u5e76\u5728\u4f4e\u7ef4\u7a7a\u95f4\u4e2d\u4f7f\u7528 K-\u5747\u503c\u7b97\u6cd5\u8fdb\u884c\u5206\u7c7b\u3002\u5b83\u8bc6\u522b\u51fa\u4e86\u7279\u5f81\u5411\u91cf\u548c\u7279\u5f81\u503c\uff0c\u5e76\u5229\u7528\u5b83\u4eec\u5c06\u6570\u636e\u5212\u5206\u4e3a\u4e0d\u540c\u7684\u7ec4\u3002<\/p>\n\n\n\n<p>\u4e0b\u8f7d\u94fe\u63a5: https:\/\/scikit-learn.org\/stable\/modules\/generated\/sklearn.cluster.SpectralClustering.html<\/p>\n\n\n\n<p>5. 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Fuzzy C-Means Clustering\uff08\u6a21\u7ccaC\u5747\u503c\u805a\u7c7b\u7b97\u6cd5\uff09\uff1a\u8fd9\u662f\u4e00\u79cd\u6a21\u7cca\u805a\u7c7b\u7b97\u6cd5\uff0c\u5141\u8bb8\u70b9\u5c5e\u4e8e\u5177\u6709\u4e0d\u540c\u6210\u5458\u8d44\u683c\u7a0b\u5ea6\u7684\u591a\u4e2a\u7fa4\u96c6\u3002\u5b83\u4e3a\u6bcf\u4e2a\u7fa4\u96c6\u5206\u914d\u6bcf\u4e2a\u70b9\u7684\u6210\u5458\u8d44\u683c\u503c\uff0c\u7136\u540e\u8fed\u4ee3\u66f4\u65b0\u6210\u5458\u8d44\u683c\u503c\u548c\u7fa4\u96c6\u4e2d\u5fc3\u3002<\/p>\n\n\n\n<p>\u4e0b\u8f7d\u94fe\u63a5\uff1ahttps:\/\/scikit-learn.org\/stable\/modules\/generated\/sklearn.cluster.FuzzyCMeans.html<\/p>\n\n\n\n<p>7. Mean Shift Clustering\uff08\u5747\u503c\u6f02\u79fb\u805a\u7c7b\u7b97\u6cd5\uff09\uff1a\u8fd9\u662f\u4e00\u79cd\u975e\u53c2\u6570\u5316\u805a\u7c7b\u7b97\u6cd5\uff0c\u53ef\u4ee5\u8bc6\u522b\u5bc6\u96c6\u533a\u57df\u5e76\u5c06\u5176\u5206\u914d\u5230\u7fa4\u96c6\u4e2d\u3002\u8be5\u7b97\u6cd5\u8fed\u4ee3\u5730\u5c06\u70b9\u5411\u5176\u5c40\u90e8\u5206\u5e03\u7684\u5e73\u5747\u503c\u79fb\u52a8\u76f4\u81f3\u6536\u655b\uff0c\u7136\u540e\u5c06\u5b83\u4eec\u5206\u914d\u5230\u6700\u8fd1\u7684\u7fa4\u96c6\u4e2d\u5fc3\u3002<\/p>\n\n\n\n<p>\u4e0b\u8f7d\u94fe\u63a5\uff1ahttps:\/\/scikit-learn.org\/stable\/modules\/generated\/sklearn.cluster.MeanShift.html<\/p>\n\n\n\n<p>8. GMM Clustering\uff08\u9ad8\u65af\u6df7\u5408\u6a21\u578b\u805a\u7c7b\uff09: \u9ad8\u65af\u6df7\u5408\u6a21\u578b\u662f\u4e00\u4e2a\u6982\u7387\u6a21\u578b\uff0c\u8868\u793a\u4e00\u4e2a\u70b9\u4e91\u4f5c\u4e3a\u9ad8\u65af\u5206\u5e03\u6df7\u5408\u7269\u3002\u8be5\u7b97\u6cd5\u4f7f\u7528\u671f\u671b\u6700\u5927\u5316\u7b97\u6cd5\u4f30\u8ba1\u9ad8\u65af\u5206\u5e03\u7684\u53c2\u6570\uff0c\u7136\u540e\u5c06\u6bcf\u4e2a\u70b9\u5206\u914d\u7ed9\u6700\u53ef\u80fd\u7684\u7fa4\u96c6\u3002<\/p>\n\n\n\n<p>\u4e0b\u8f7d\u94fe\u63a5\uff1ahttps:\/\/scikit-learn.org\/stable\/modules\/generated\/sklearn.mixture.GaussianMixture.html<\/p>\n\n\n\n<p>9. OPTICS \uff08\u5bc6\u5ea6\u805a\u7c7b\u7b97\u6cd5\uff09: \u8fd9\u79cd\u7b97\u6cd5\u662f DBSCAN \u7684\u6269\u5c55\uff0c\u5141\u8bb8\u53d8\u91cf\u5bc6\u5ea6\u805a\u7c7b\u3002\u5b83\u8bc6\u522b\u5bc6\u96c6\u533a\u57df\u5e76\u5c06\u5176\u5206\u914d\u5230\u7fa4\u96c6\u4e2d\uff0c\u540c\u65f6\u57fa\u4e8e\u5b83\u4eec\u7684\u5bc6\u5ea6\u7ef4\u62a4\u4e00\u4e2a\u5c42\u6b21\u7ed3\u6784\u7684\u7fa4\u96c6\u3002<\/p>\n\n\n\n<p>\u4e0b\u8f7d\u94fe\u63a5\uff1ahttps:\/\/scikit-learn.org\/stable\/modules\/generated\/sklearn.cluster.OPTICS.html<\/p>\n\n\n\n<p>10. 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