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FCM代碼java FCM代碼

JAVA程序設(shè)計 閱讀程序?qū)懗鲞\行結(jié)果

第一問

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Hello,This is a fruit!

Hello,The is an apple!

因為子類構(gòu)造方法中

Apple() {

System.out.println("Hello,The is an apple!");

}

在沒有特定聲明時等價于

Apple() {

super();//這里將執(zhí)行父類的構(gòu)造方法

System.out.println("Hello,The is an apple!");

}

第二問題

執(zhí)行結(jié)果是

T0

gender is wrong

T3

T4

try{

System.out.println("T0");// 1這里始終會執(zhí)行,一進到try就執(zhí)行

if(!flag1||!flag2)

throw new GenderException();// 2、這里判斷得到,當兩個都為false時拋出異常,但沒有打印信息

System.out.println("T1");

}catch(GenderException e){

System.out.println("gender is wrong");//3,步驟2拋出的異常在這里被截取,所以打印出來

}catch(Exception){

System.out.println("T2");

}finally{

System.out.println("T3");//4,try catch下 finally始終會執(zhí)行,也打印

}

System.out.println("T4");// 5、try catch 外,繼續(xù)執(zhí)行

}

}

matlab中的功能函數(shù)FCM如何使用

模糊C均值聚類算法,可將輸入的數(shù)據(jù)集data聚為指定的cluster_n類

【函數(shù)描述】

語法格式

[center, U, obj_fcn] = FCM(data, cluster_n, options)

用法:

1. [center,U,obj_fcn] = FCM(Data,N_cluster,options);

2. [center,U,obj_fcn] = FCM(Data,N_cluster);

輸入變量

data ---- n*m矩陣,表示n個樣本,每個樣本具有m維特征值

cluster_n ---- 標量,表示聚合中心數(shù)目,即類別數(shù)

options ---- 4*1列向量,其中

options(1): 隸屬度矩陣U的指數(shù),1(缺省值: 2.0)

options(2): 最大迭代次數(shù)(缺省值: 100)

options(3): 隸屬度最小變化量,迭代終止條件(缺省值: 1e-5)

options(4): 每次迭代是否輸出信息標志(缺省值: 0)

輸出變量

center ---- 聚類中心

U ---- 隸屬度矩陣

obj_fcn ---- 目標函數(shù)值

python 中如何調(diào)用FCM算法

以下代碼調(diào)試通過:

1234567class?LuciaClass:??#?定義類????def?luciaprint(self,?text):??#?類里面的方法????????print('\n',?text)??#?方法就是輸出?text??x?=?LuciaClass()??#?方法的實例?xx.luciaprint('today?is?a?bad?day?~~~')??#?實例調(diào)用類方法

運行效果:

java一個整數(shù)除以一個小數(shù)為什么的到小數(shù)

Java中如果除運算符“/”,在不加任何限制的情況下,兩個整數(shù)相除,得到的是整數(shù),小數(shù)點后的被舍棄。但是有些場景下我們需要拿到除得的小數(shù),還要指定位數(shù)的小數(shù)。這時候有以下處理方法:

1.使用DecimalFormat來限定得到的小數(shù)位數(shù)

int pcm = 98;

int fcm = 11;

DecimalFormat df = new DecimalFormat("0.00");

double tmpVal = Double.parseDouble(df.format((double) pcm/(pcm+fcm)));

//get value 0.89

注意,它默認返回的是String,如果需要double/float要做一下轉(zhuǎn)換。

2.直接使用Decimal運算

@Test

public void testDecimalOper(){

int pcm = 94;

int fcm = 11;

BigDecimal pcmbd = new BigDecimal(pcm);

BigDecimal fcmbd = new BigDecimal(fcm);

BigDecimal rate = new BigDecimal(0.00);

rate = pcmbd.divide(pcmbd.add(fcmbd), 2, RoundingMode.HALF_UP);

System.out.println(rate);//0.90

}

float/double在工程運算中使用的比較多,在商業(yè)計算中使用Decimal類型的比較多。(注:

在《Effective Java》這本書中也提到這個原則,float和double只能用來做科學計算或者是工程計算,在商業(yè)計算中我們要用 java.math.BigDecimal,另外,我們?nèi)绻枰_計算,要用String來夠造BigDecimal。在《Effective Java》一書中的例子是用String來夠造BigDecimal的。(注意:divide方法中推薦使用枚舉RoundingMode.HALF_UP)

)

兩種方式都可以。推薦使用第二種方式來處理精度和round mode的設(shè)置。

附BigDecimal rouding mode:

/**

* Rounding mode to round away from zero. Always increments the

* digit prior to a nonzero discarded fraction. Note that this rounding

* mode never decreases the magnitude of the calculated value.

*/

public final static int ROUND_UP = 0;

/**

* Rounding mode to round towards zero. Never increments the digit

* prior to a discarded fraction (i.e., truncates). Note that this

* rounding mode never increases the magnitude of the calculated value.

*/

public final static int ROUND_DOWN = 1;

/**

* Rounding mode to round towards positive infinity. If the

* {@code BigDecimal} is positive, behaves as for

* {@code ROUND_UP}; if negative, behaves as for

* {@code ROUND_DOWN}. Note that this rounding mode never

* decreases the calculated value.

*/

public final static int ROUND_CEILING = 2;

/**

* Rounding mode to round towards negative infinity. If the

* {@code BigDecimal} is positive, behave as for

* {@code ROUND_DOWN}; if negative, behave as for

* {@code ROUND_UP}. Note that this rounding mode never

* increases the calculated value.

*/

public final static int ROUND_FLOOR = 3;

/**

* Rounding mode to round towards {@literal "nearest neighbor"}

* unless both neighbors are equidistant, in which case round up.

* Behaves as for {@code ROUND_UP} if the discarded fraction is

* ≥ 0.5; otherwise, behaves as for {@code ROUND_DOWN}. Note

* that this is the rounding mode that most of us were taught in

* grade school.

*/

public final static int ROUND_HALF_UP = 4;

/**

* Rounding mode to round towards {@literal "nearest neighbor"}

* unless both neighbors are equidistant, in which case round

* down. Behaves as for {@code ROUND_UP} if the discarded

* fraction is {@literal } 0.5; otherwise, behaves as for

* {@code ROUND_DOWN}.

*/

public final static int ROUND_HALF_DOWN = 5;

/**

* Rounding mode to round towards the {@literal "nearest neighbor"}

* unless both neighbors are equidistant, in which case, round

* towards the even neighbor. Behaves as for

* {@code ROUND_HALF_UP} if the digit to the left of the

* discarded fraction is odd; behaves as for

* {@code ROUND_HALF_DOWN} if it's even. Note that this is the

* rounding mode that minimizes cumulative error when applied

* repeatedly over a sequence of calculations.

*/

public final static int ROUND_HALF_EVEN = 6;

/**

* Rounding mode to assert that the requested operation has an exact

* result, hence no rounding is necessary. If this rounding mode is

* specified on an operation that yields an inexact result, an

* {@code ArithmeticException} is thrown.

*/

public final static int ROUND_UNNECESSARY = 7;

誰有模糊c均值聚類算法的代碼?

模糊c均值聚類

函數(shù): fcm

格式: [center,U,obj_fcn] = fcm(data,cluster_n)

舉例如下所示:

data = rand(100, 2);

[center,U,obj_fcn] = fcm(data, 2);

plot(data(:,1), data(:,2),'o');

maxU = max(U);

index1 = find(U(1,:) == maxU);

index2 = find(U(2, :) == maxU);

line(data(index1,1), data(index1, 2), 'linestyle', 'none', 'marker', '*', 'color', 'g');

line(data(index2,1), data(index2, 2), 'linestyle', 'none', 'marker', '*', 'color', 'r');

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