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    <title>PyPI recent updates for sude</title>
    <link>https://pypi.org/project/sude/</link>
    <description>Recent updates to the Python Package Index for sude</description>
    <language>en</language>    <item>
      <title>0.2.1</title>
      <link>https://pypi.org/project/sude/0.2.1/</link>
      <description>A scalable manifold learning (SUDE) method that can cope with large-scale and high-dimensional data in an efficient manner.</description>
<author>pengdh@whu.edu.cn</author>      <pubDate>Mon, 18 May 2026 04:29:43 GMT</pubDate>
    </item>    <item>
      <title>0.2.0</title>
      <link>https://pypi.org/project/sude/0.2.0/</link>
      <description>A scalable manifold learning (SUDE) method that can cope with large-scale and high-dimensional data in an efficient manner.</description>
<author>pengdh@whu.edu.cn</author>      <pubDate>Sun, 17 May 2026 12:53:42 GMT</pubDate>
    </item>    <item>
      <title>0.1.5</title>
      <link>https://pypi.org/project/sude/0.1.5/</link>
      <description>A scalable manifold learning (SUDE) method that can cope with large-scale and high-dimensional data in an efficient manner.</description>
<author>pengdh@whu.edu.cn</author>      <pubDate>Sat, 14 Mar 2026 16:52:53 GMT</pubDate>
    </item>    <item>
      <title>0.1.4</title>
      <link>https://pypi.org/project/sude/0.1.4/</link>
      <description>A scalable manifold learning (SUDE) method that can cope with large-scale and high-dimensional data in an efficient manner.</description>
<author>pengdh@whu.edu.cn</author>      <pubDate>Sat, 14 Mar 2026 15:21:50 GMT</pubDate>
    </item>    <item>
      <title>0.1.3</title>
      <link>https://pypi.org/project/sude/0.1.3/</link>
      <description>A scalable manifold learning (SUDE) method that can cope with large-scale and high-dimensional data in an efficient manner.</description>
<author>pengdh@whu.edu.cn</author>      <pubDate>Sat, 14 Mar 2026 13:42:18 GMT</pubDate>
    </item>    <item>
      <title>0.1.2</title>
      <link>https://pypi.org/project/sude/0.1.2/</link>
      <description>A scalable manifold learning (SUDE) method that can cope with large-scale and high-dimensional data in an efficient manner.</description>
<author>pengdh@whu.edu.cn</author>      <pubDate>Thu, 16 Oct 2025 02:38:26 GMT</pubDate>
    </item>    <item>
      <title>0.1.1</title>
      <link>https://pypi.org/project/sude/0.1.1/</link>
      <description>A scalable manifold learning (SUDE) method that can cope with large-scale and high-dimensional data in an efficient manner.</description>
<author>pengdh@whu.edu.cn</author>      <pubDate>Sat, 13 Sep 2025 13:15:52 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/sude/0.1.0/</link>
      <description>A scalable manifold learning (SUDE) method that can cope with large-scale and high-dimensional data in an efficient manner.</description>
<author>pengdh@whu.edu.cn</author>      <pubDate>Sat, 13 Sep 2025 12:37:26 GMT</pubDate>
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