你好
是否可以過濾特定缺陷(在缺陷列中)和 8 個最近鄰居並從主表中提取數據子集?
謝謝
以下示例使用 JMP 示例表中的晶圓堆疊數據表來選擇最近的相鄰芯片

names default to here(1);
dtMain =
// Open Data Table: Wafer Stacked.jmp
// → Data Table( "Wafer Stacked" )
Open( "$SAMPLE_DATA/Wafer Stacked.jmp" );
dtMain << set name("Main");
dtMain:X_Die << modeling type(Ordinal);
dtMain:Y_Die << modeling type(Ordinal);
// For illustration, use only Wafer 1 data
dtMain << select where( :Wafer == 1 & :Lot =="1" );
dtMain << invert row selection;
dtMain << delete rows;
// Create a separate data table that only has the die with defects in them
dtMain << select where( :Defects > 0 );
dtDefects = dtMain << subset( selected rows( 1 ), selected columns( 0 ),
output table( "Defects" ) );
// Remove the defects column from the main table
dtMain << delete columns( :Defects );
// Create a table with the nearest neighbor data from the main table, based upon one of the
// defect die that has a defect in the defect table.
// For illustration we will pick the die in the Defect table in row
DefectRow = 1;
dtMain << select where( dtMain:X_Die >= dtDefects:X_Die[DefectRow] - 1 &
dtMain:X_Die <= dtDefects:X_Die[DefectRow] + 1
&
dtMain:Y_Die >= dtDefects:Y_Die[DefectRow] - 1 & dtMain:Y_Die <= dtDefects:Y_Die[DefectRow] + 1
);
dtNear = dtMain << subset( selected rows( 1 ), selected columns( 0 ),
output table( "Nearest" ) );
// Display the selected die
dtNear << Graph Builder(
Size( 512, 448 ),
Show Control Panel( 0 ),
Variables( X( :X_Die ), Y( :Y_Die ) ),
Elements( Points( X, Y, Legend( 5 ) ) )
);
我建議檢查一下半導體工具包加入。 層次聚類也可能有效。 也總是可以選擇執行一些基本上可以執行“任何操作”的腳本(KDTable() 可能是一個好的開始,近鄰均值計算)。